Watch full webinar here: https://bit.ly/3dudL6u
It's not if you move to the cloud, but when. Most organisations are well underway with migrating applications and data to the cloud. In fact, most organisations - whether they realise it or not - have a multi-cloud strategy. Single, hybrid, or multi-cloud…the potential benefits are huge - flexibility, agility, cost savings, scaling on-demand, etc. However, the challenges can be just as large and daunting. A poorly managed migration to the cloud can leave users frustrated at their inability to get to the data that they need and IT scrambling to cobble together a solution.
In this session, we will look at the challenges facing data management teams as they migrate to cloud and multi-cloud architectures. We will show how the Denodo Platform can:
- Reduce the risk and minimise the disruption of migrating to the cloud.
- Make it easier and quicker for users to find the data that they need - wherever it is located.
- Provide a uniform security layer that spans hybrid and multi-cloud environments.
Agile Data Management with Enterprise Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3juxqaw
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
- and to learn how to leverage the Denodo Data Virtualization platform to implement these modern data architectures.
Data Virtualization - Enabling Next Generation AnalyticsDenodo
Watch full webinar here: https://goo.gl/3gNMXX
Webinar featuring guest speaker Boris Evelson, Vice President, Principal Analyst at Forrester Research and Lakshmi Randall, Director of Product Marketing, Denodo.
Majority of enterprises today are data-aware. Being data-aware, or even data-driven, however, is not enough. Are your data-driven applications providing contextual and actionable insight? Are your analytics applications driving tangible business outcomes? Are you deriving insights from all the enterprise data? Enter Systems Of Insight (SOI), Forrester's latest analytical framework for insights-driven businesses.
In this webinar you will learn about the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. Specifically the webinar will explore roles data virtualization (aka Data Fabric) plays in modern SOI architectures such as:
• A single virtual catalog / view on all enterprise data sources including data lakes.
• A more agile and flexible virtual enterprise data warehouse.
• A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
Data Virtualization: From Zero to Hero (Middle East)Denodo
Watch full webinar here: https://bit.ly/3vPcmQ4
At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.
Join us for this webinar to become a "Data Virtualization Hero" inside your organization.
In this session you will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Applying Big Data Superpowers to HealthcarePaul Boal
When I see a data analyst quickly transform and drill through a new pile of data to uncover a keen insight, I feel like I'm watching a new movie from the Marvel universe. If you haven't explored and learned to apply cloud, big data, streaming data, and rapid analytics techniques, then you haven't uncovered your superpowers, yet. Here's how you can get started.
Data Mesh in Practice - How Europe's Leading Online Platform for Fashion Goes...Dr. Arif Wider
A talk presented by Max Schultze from Zalando and Arif Wider from ThoughtWorks at NDC Oslo 2020.
Abstract:
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
At Zalando - europe’s biggest online fashion retailer - we realised that accessibility and availability at scale can only be guaranteed when moving more responsibilities to those who pick up the data and have the respective domain knowledge - the data owners - while keeping only data governance and metadata information central. Such a decentralized and domain focused approach has recently been coined a Data Mesh.
The Data Mesh paradigm promotes the concept of Data Products which go beyond sharing of files and towards guarantees of quality and acknowledgement of data ownership.
This talk will take you on a journey of how we went from a centralized Data Lake to embrace a distributed Data Mesh architecture and will outline the ongoing efforts to make creation of data products as simple as applying a template.
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Denodo
Watch full webinar here: https://bit.ly/3hgOSwm
Data Lake technologies have been in constant evolution in recent years, with each iteration primising to fix what previous ones failed to accomplish. Several data lake engines are hitting the market with better ingestion, governance, and acceleration capabilities that aim to create the ultimate data repository. But isn't that the promise of a logical architecture with data virtualization too? So, what’s the difference between the two technologies? Are they friends or foes? This session will explore the details.
GDPR Noncompliance: Avoid the Risk with Data VirtualizationDenodo
You can watch the full webinar on-demand here: https://goo.gl/2f2RYF
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.
Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate GDPR compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate GDPR compliance.
Attend this session to learn:
• How data virtualization provides a GDPR compliance foundation with data catalog, auditing, and data security.
• How you can enable single enterprise-wide data access layer with guardrails.
• Why data virtualization is a must-have capability for compliance use cases.
• How Denodo’s customers have facilitated compliance.
Artificial intelligence and machine learning are currently all the rage. Every organisation is trying to jump on this bandwagon and cash in on their data reserves. At ThoughtWorks, we’d agree that this tech has huge potential — but as with all things, realising value depends on understanding how best to use it.
Agile Data Management with Enterprise Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3juxqaw
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
- and to learn how to leverage the Denodo Data Virtualization platform to implement these modern data architectures.
Data Virtualization - Enabling Next Generation AnalyticsDenodo
Watch full webinar here: https://goo.gl/3gNMXX
Webinar featuring guest speaker Boris Evelson, Vice President, Principal Analyst at Forrester Research and Lakshmi Randall, Director of Product Marketing, Denodo.
Majority of enterprises today are data-aware. Being data-aware, or even data-driven, however, is not enough. Are your data-driven applications providing contextual and actionable insight? Are your analytics applications driving tangible business outcomes? Are you deriving insights from all the enterprise data? Enter Systems Of Insight (SOI), Forrester's latest analytical framework for insights-driven businesses.
In this webinar you will learn about the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. Specifically the webinar will explore roles data virtualization (aka Data Fabric) plays in modern SOI architectures such as:
• A single virtual catalog / view on all enterprise data sources including data lakes.
• A more agile and flexible virtual enterprise data warehouse.
• A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
Data Virtualization: From Zero to Hero (Middle East)Denodo
Watch full webinar here: https://bit.ly/3vPcmQ4
At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.
Join us for this webinar to become a "Data Virtualization Hero" inside your organization.
In this session you will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Applying Big Data Superpowers to HealthcarePaul Boal
When I see a data analyst quickly transform and drill through a new pile of data to uncover a keen insight, I feel like I'm watching a new movie from the Marvel universe. If you haven't explored and learned to apply cloud, big data, streaming data, and rapid analytics techniques, then you haven't uncovered your superpowers, yet. Here's how you can get started.
Data Mesh in Practice - How Europe's Leading Online Platform for Fashion Goes...Dr. Arif Wider
A talk presented by Max Schultze from Zalando and Arif Wider from ThoughtWorks at NDC Oslo 2020.
Abstract:
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
At Zalando - europe’s biggest online fashion retailer - we realised that accessibility and availability at scale can only be guaranteed when moving more responsibilities to those who pick up the data and have the respective domain knowledge - the data owners - while keeping only data governance and metadata information central. Such a decentralized and domain focused approach has recently been coined a Data Mesh.
The Data Mesh paradigm promotes the concept of Data Products which go beyond sharing of files and towards guarantees of quality and acknowledgement of data ownership.
This talk will take you on a journey of how we went from a centralized Data Lake to embrace a distributed Data Mesh architecture and will outline the ongoing efforts to make creation of data products as simple as applying a template.
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Denodo
Watch full webinar here: https://bit.ly/3hgOSwm
Data Lake technologies have been in constant evolution in recent years, with each iteration primising to fix what previous ones failed to accomplish. Several data lake engines are hitting the market with better ingestion, governance, and acceleration capabilities that aim to create the ultimate data repository. But isn't that the promise of a logical architecture with data virtualization too? So, what’s the difference between the two technologies? Are they friends or foes? This session will explore the details.
GDPR Noncompliance: Avoid the Risk with Data VirtualizationDenodo
You can watch the full webinar on-demand here: https://goo.gl/2f2RYF
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.
Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate GDPR compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate GDPR compliance.
Attend this session to learn:
• How data virtualization provides a GDPR compliance foundation with data catalog, auditing, and data security.
• How you can enable single enterprise-wide data access layer with guardrails.
• Why data virtualization is a must-have capability for compliance use cases.
• How Denodo’s customers have facilitated compliance.
Artificial intelligence and machine learning are currently all the rage. Every organisation is trying to jump on this bandwagon and cash in on their data reserves. At ThoughtWorks, we’d agree that this tech has huge potential — but as with all things, realising value depends on understanding how best to use it.
Big Data Fabric for At-Scale Real-Time Analysis by Edwin RobbinsData Con LA
Abstract:- Companies are adopting big data for performing high-velocity real-time analytics on very large volumes of data to enable rapid analysis for business users using self-service and never-before-realized use cases. However, such projects have yielded limited value because these big data systems have become siloed from the rest of the enterprise systems holding critical business operational data. Big Data Fabric is a modern data architecture combining data virtualization, data prep, and lineage capabilities to seamlessly integrate at scale these huge, siloed volumes of structured and unstructured data with other enterprise data assets. This presentation will demonstrate with proven customer case studies in big data and IoT about the value of using big data fabric as a logical data lake for big data analytics.
Watch full webinar here: https://bit.ly/3dhbZTK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Watch this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
Fast Data Strategy Houston Roadshow PresentationDenodo
Fast Data Strategy Houston Roadshow focused on the next industrial revolution on the horizon, driven by the application of big data, IoT and Cloud technologies.
• Denodo’s innovative customer, Anadarko, elaborated on how data virtualization serves as the key component in their prescriptive and predictive analytics initiatives, driven by multi-structured data ranging from customer data to equipment data.
• Denodo’s session, Unleashing the Power of Data, described the complexity of the modern data ecosystem and how to overcome challenges and successfully harness insights.
• Our Partner Noah Consulting, an expert analytics solutions provider in the energy industry, explained how your peers are innovating using new business models and reducing cost in areas such as Asset Management and Operations by leveraging Data Virtualization and Prescriptive and Predictive Analytics.
For more information on upcoming roadshows near you, follow this link: https://goo.gl/WBDHiE
To mesh or mess up your data organisation - Jochem van Grondelle (Prosus/OLX ...Jochem van Grondelle
Recently the concept of a ‘data mesh’ was introduced by Zhamak Deghani to solve architectural and organizational challenges with getting value from data at scale more logically and efficiently, built around four principles:
* Domain-oriented decentralized data ownership
* Data as a product
* Self-serve data infrastructure as a platform
* Federated computational governance
This presentation will initially deep-dive into the ‘data mesh’ and how it fundamentally differs from the typical data lake architectures used today. Subsequently, it describes OLX Europe’s current data platform state aimed partially towards a more decentralized data architecture, covering its analytical data platform, data infrastructure, data discovery, and data privacy.
Finally, it will see to what extent the main principles around the ‘data mesh’ can be applied to a future vision for our data platform and what advantages and challenges implementing such a vision can bring for OLX and other companies.
For more information on data mesh principles, check out the original article by Zhamak: https://martinfowler.com/articles/data-mesh-principles.html.
Multi-Cloud Integration with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3corOL4
More and more organizations are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a highly distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA).
In this on-demand webinar, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
Data Virtualization: The Agile Delivery PlatformDenodo
Watch full webinar here: https://goo.gl/2wNBhg
To grow or compete in today's fast paced business environment, you need a robust, agile and cost effective data-driven decision strategy.
However, many companies are struggling with the growing complexity of data integration projects as they try to manage the increasing volumes and types of data from traditional enterprise sources as well as new sources such as big data, machine data, social media or cloud sources.
Data virtualization is the technology to simplify and reduce the costs of your data integration projects.
Watch this webinar in which we explore:
• How data virtualization lets you provide the business with the information it needs to make better decisions faster.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Data Virtualization to Survive a Multi and Hybrid Cloud WorldDenodo
Watch full webinar here:https://buff.ly/2Edqlpo
Hybrid cloud computing is slowing becoming the standard for businesses. The transition to hybrid can be challenging depending on the environment and the needs of the business. A successful move will involve using the right technology and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit.
In this session, you will learn:
*Key challenges of migration to the cloud in a complex data landscape
*How data virtualization can help build a data driven, multi-location cloud architecture for real time integration
*How customers are taking advantage of data virtualization to save time and costs with limited resources
Big Data Fabric: A Necessity For Any Successful Big Data InitiativeDenodo
Watch this webinar in full here: https://buff.ly/2IxM8Iy
Watch all webinars from the Denodo Packed Lunch webinar series here: https://buff.ly/2IR3q6w
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.
Attend this session to learn how big data fabric enabled by data virtualization:
• Provides lightning fast self-service data access to business users
• Centralizes data security, governance and data privacy
• Fulfills the promise of data lakes to provide actionable insights
Watch full webinar here: https://bit.ly/3FcgiyK
Denodo recently released the Denodo Cloud Survey 2021. Learn about some of the insights we have from the survey as well as some of the use cases Denodo comes across in the cloud. We will also conduct a brief product demonstration highlighting how easy it is to migrate to the cloud and support access to data in hybrid cloud architectures.
In this session not only will we look at what you, the customers are saying in the Denodo Cloud Survey but also:
- We will explore how, in reality, many organizations are already operating in a hybrid or multi-cloud environment and how their needs are being met through the use of a logical data fabric and data virtualization
- We will discuss how easy it is to reduce the risk and minimize disruption when migrating to the cloud
- We will educate you on why a uniform security layer removes regulatory risk in data governance.
- Finally we will demonstrate some of the key capabilities of the Denodo Platform to support the above.
Watch full webinar here: https://buff.ly/2XXbNB7
What started to evolve as the most agile and real-time enterprise data fabric, Data Virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
*What data virtualization really is
*How it differs from other enterprise data integration technologies
*Why data virtualization is finding enterprise wide deployment inside some of the largest organizations
Watch full webinar here: https://bit.ly/2xc6IO0
To solve these challenges, according to Gartner "through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture". It is clear that data virtualization has become a driving force for companies to implement agile, real-time and flexible enterprise data architecture.
In this session we will look at the data integration challenges solved by data virtualization, the main use cases and examine why this technology is growing so fastly. You will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...Denodo
Watch full webinar here: https://bit.ly/3l61usQ
As organizations opt for cloud computing platforms and migrate their data and applications to a hybrid cloud environment, they use multiple platforms to support new and increasing data types for analytics. However, as enterprise data architectures expand to incorporate both cloud and on-premises platforms and systems, the complexity of the environment leads to operational inefficiencies. Data latency and redundant computation, coupled with diminished data awareness leads to missing data consumer expectations for rapid information analysis and delivery.
A logical data fabric is a modern and highly effective approach to unify distributed data in a hybrid environment. Organizations can leverage the logical data fabric to overcome systemic challenges, simplify analysis and reporting, and speed the reporting/analysis, data science lifecycle to empower downstream data consumers. In this session renowned analyst David Loshin will talk about the most important capabilities of the logical data fabric to deal with modern data management and analytics efforts. Attendees will learn about:
- The emergence (and persistence) of the hybrid environment
- Challenges in enabling data consumption
- The need for data awareness in a hybrid enterprise
- The most critical capabilities of a logical data fabric
Cloud Modernization with Data VirtualizationDenodo
Watch full webinar here: [https://buff.ly/2sLhFAc]
TransAlta is an electric power generator company headquartered in Calgary, Alberta. TransAlta's IT department initiated "Zero Data Center" project to move their entire data layer to the cloud for flexibility, agility and lower TCO. Data virtualization technology played a central role in TransAlta's real-time data integration, while helping them move to the cloud with zero down-time
Attend this Denodo DataFest 2018 session to learn:
Who is TransAlta and why TransAlta wanted to move their entire enterprise data layer to the cloud
Why data virtualization played a critical role in TransAlta's cloud modernization effort
How TransAlta uses DV in their energy trading, wind icing forecast and HR fuctions
Logical Data Warehouse: The Foundation of Modern Data and AnalyticsDenodo
Watch full webinar here: https://buff.ly/2Vhew78
According to a leading analyst firm, the total spend in data and analytics is expected to reach $104 billion in 2019! Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.
In this session, you will learn:
*What is logical data warehouse and how to architect one
*The benefits of logical data warehouse – speed with agility
*The Insights Development Workbench – a framework in action
Data Fabric - Why Should Organizations Implement a Logical and Not a Physical...Denodo
Watch full webinar here: https://bit.ly/3fBpO2M
Data Fabric has been a hot topic in town and Gartner has termed it as one of the top strategic technology trends for 2022. Noticeably, many mid-to-large organizations are also starting to adopt this logical data fabric architecture while others are still curious about how it works.
With a better understanding of data fabric, you will be able to architect a logical data fabric to enable agile data solutions that honor enterprise governance and security, support operations with automated recommendations, and ultimately, reduce the cost of maintaining hybrid environments.
In this on-demand session, you will learn:
- What is a data fabric?
- How is a physical data fabric different from a logical data fabric?
- Which one should you use and when?
- What’s the underlying technology that makes up the data fabric?
- Which companies are successfully using it and for what use case?
- How can I get started and what are the best practices to avoid pitfalls?
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...Denodo
Watch full webinar here: https://bit.ly/3AdAzkW
Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.
Big Data Fabric for At-Scale Real-Time Analysis by Edwin RobbinsData Con LA
Abstract:- Companies are adopting big data for performing high-velocity real-time analytics on very large volumes of data to enable rapid analysis for business users using self-service and never-before-realized use cases. However, such projects have yielded limited value because these big data systems have become siloed from the rest of the enterprise systems holding critical business operational data. Big Data Fabric is a modern data architecture combining data virtualization, data prep, and lineage capabilities to seamlessly integrate at scale these huge, siloed volumes of structured and unstructured data with other enterprise data assets. This presentation will demonstrate with proven customer case studies in big data and IoT about the value of using big data fabric as a logical data lake for big data analytics.
Watch full webinar here: https://bit.ly/3dhbZTK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Watch this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
Fast Data Strategy Houston Roadshow PresentationDenodo
Fast Data Strategy Houston Roadshow focused on the next industrial revolution on the horizon, driven by the application of big data, IoT and Cloud technologies.
• Denodo’s innovative customer, Anadarko, elaborated on how data virtualization serves as the key component in their prescriptive and predictive analytics initiatives, driven by multi-structured data ranging from customer data to equipment data.
• Denodo’s session, Unleashing the Power of Data, described the complexity of the modern data ecosystem and how to overcome challenges and successfully harness insights.
• Our Partner Noah Consulting, an expert analytics solutions provider in the energy industry, explained how your peers are innovating using new business models and reducing cost in areas such as Asset Management and Operations by leveraging Data Virtualization and Prescriptive and Predictive Analytics.
For more information on upcoming roadshows near you, follow this link: https://goo.gl/WBDHiE
To mesh or mess up your data organisation - Jochem van Grondelle (Prosus/OLX ...Jochem van Grondelle
Recently the concept of a ‘data mesh’ was introduced by Zhamak Deghani to solve architectural and organizational challenges with getting value from data at scale more logically and efficiently, built around four principles:
* Domain-oriented decentralized data ownership
* Data as a product
* Self-serve data infrastructure as a platform
* Federated computational governance
This presentation will initially deep-dive into the ‘data mesh’ and how it fundamentally differs from the typical data lake architectures used today. Subsequently, it describes OLX Europe’s current data platform state aimed partially towards a more decentralized data architecture, covering its analytical data platform, data infrastructure, data discovery, and data privacy.
Finally, it will see to what extent the main principles around the ‘data mesh’ can be applied to a future vision for our data platform and what advantages and challenges implementing such a vision can bring for OLX and other companies.
For more information on data mesh principles, check out the original article by Zhamak: https://martinfowler.com/articles/data-mesh-principles.html.
Multi-Cloud Integration with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3corOL4
More and more organizations are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a highly distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA).
In this on-demand webinar, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
Data Virtualization: The Agile Delivery PlatformDenodo
Watch full webinar here: https://goo.gl/2wNBhg
To grow or compete in today's fast paced business environment, you need a robust, agile and cost effective data-driven decision strategy.
However, many companies are struggling with the growing complexity of data integration projects as they try to manage the increasing volumes and types of data from traditional enterprise sources as well as new sources such as big data, machine data, social media or cloud sources.
Data virtualization is the technology to simplify and reduce the costs of your data integration projects.
Watch this webinar in which we explore:
• How data virtualization lets you provide the business with the information it needs to make better decisions faster.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...HostedbyConfluent
Organizations have been chasing the dream of data democratization, unlocking and accessing data at scale to serve their customers and business, for over a half a century from early days of data warehousing. They have been trying to reach this dream through multiple generations of architectures, such as data warehouse and data lake, through a cambrian explosion of tools and a large amount of investments to build their next data platform. Despite the intention and the investments the results have been middling.
In this keynote, Zhamak shares her observations on the failure modes of a centralized paradigm of a data lake, and its predecessor data warehouse.
She introduces Data Mesh, a paradigm shift in big data management that draws from modern distributed architecture: considering domains as the first class concern, applying self-sovereignty to distribute the ownership of data, applying platform thinking to create self-serve data infrastructure, and treating data as a product.
This talk introduces the principles underpinning data mesh and Zhamak's recent learnings in creating a path to bring data mesh to life in your organization.
Data Virtualization to Survive a Multi and Hybrid Cloud WorldDenodo
Watch full webinar here:https://buff.ly/2Edqlpo
Hybrid cloud computing is slowing becoming the standard for businesses. The transition to hybrid can be challenging depending on the environment and the needs of the business. A successful move will involve using the right technology and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit.
In this session, you will learn:
*Key challenges of migration to the cloud in a complex data landscape
*How data virtualization can help build a data driven, multi-location cloud architecture for real time integration
*How customers are taking advantage of data virtualization to save time and costs with limited resources
Big Data Fabric: A Necessity For Any Successful Big Data InitiativeDenodo
Watch this webinar in full here: https://buff.ly/2IxM8Iy
Watch all webinars from the Denodo Packed Lunch webinar series here: https://buff.ly/2IR3q6w
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.
Attend this session to learn how big data fabric enabled by data virtualization:
• Provides lightning fast self-service data access to business users
• Centralizes data security, governance and data privacy
• Fulfills the promise of data lakes to provide actionable insights
Watch full webinar here: https://bit.ly/3FcgiyK
Denodo recently released the Denodo Cloud Survey 2021. Learn about some of the insights we have from the survey as well as some of the use cases Denodo comes across in the cloud. We will also conduct a brief product demonstration highlighting how easy it is to migrate to the cloud and support access to data in hybrid cloud architectures.
In this session not only will we look at what you, the customers are saying in the Denodo Cloud Survey but also:
- We will explore how, in reality, many organizations are already operating in a hybrid or multi-cloud environment and how their needs are being met through the use of a logical data fabric and data virtualization
- We will discuss how easy it is to reduce the risk and minimize disruption when migrating to the cloud
- We will educate you on why a uniform security layer removes regulatory risk in data governance.
- Finally we will demonstrate some of the key capabilities of the Denodo Platform to support the above.
Watch full webinar here: https://buff.ly/2XXbNB7
What started to evolve as the most agile and real-time enterprise data fabric, Data Virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
*What data virtualization really is
*How it differs from other enterprise data integration technologies
*Why data virtualization is finding enterprise wide deployment inside some of the largest organizations
Watch full webinar here: https://bit.ly/2xc6IO0
To solve these challenges, according to Gartner "through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture". It is clear that data virtualization has become a driving force for companies to implement agile, real-time and flexible enterprise data architecture.
In this session we will look at the data integration challenges solved by data virtualization, the main use cases and examine why this technology is growing so fastly. You will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Analyst Keynote: Delivering Faster Insights with a Logical Data Fabric in a H...Denodo
Watch full webinar here: https://bit.ly/3l61usQ
As organizations opt for cloud computing platforms and migrate their data and applications to a hybrid cloud environment, they use multiple platforms to support new and increasing data types for analytics. However, as enterprise data architectures expand to incorporate both cloud and on-premises platforms and systems, the complexity of the environment leads to operational inefficiencies. Data latency and redundant computation, coupled with diminished data awareness leads to missing data consumer expectations for rapid information analysis and delivery.
A logical data fabric is a modern and highly effective approach to unify distributed data in a hybrid environment. Organizations can leverage the logical data fabric to overcome systemic challenges, simplify analysis and reporting, and speed the reporting/analysis, data science lifecycle to empower downstream data consumers. In this session renowned analyst David Loshin will talk about the most important capabilities of the logical data fabric to deal with modern data management and analytics efforts. Attendees will learn about:
- The emergence (and persistence) of the hybrid environment
- Challenges in enabling data consumption
- The need for data awareness in a hybrid enterprise
- The most critical capabilities of a logical data fabric
Cloud Modernization with Data VirtualizationDenodo
Watch full webinar here: [https://buff.ly/2sLhFAc]
TransAlta is an electric power generator company headquartered in Calgary, Alberta. TransAlta's IT department initiated "Zero Data Center" project to move their entire data layer to the cloud for flexibility, agility and lower TCO. Data virtualization technology played a central role in TransAlta's real-time data integration, while helping them move to the cloud with zero down-time
Attend this Denodo DataFest 2018 session to learn:
Who is TransAlta and why TransAlta wanted to move their entire enterprise data layer to the cloud
Why data virtualization played a critical role in TransAlta's cloud modernization effort
How TransAlta uses DV in their energy trading, wind icing forecast and HR fuctions
Logical Data Warehouse: The Foundation of Modern Data and AnalyticsDenodo
Watch full webinar here: https://buff.ly/2Vhew78
According to a leading analyst firm, the total spend in data and analytics is expected to reach $104 billion in 2019! Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.
In this session, you will learn:
*What is logical data warehouse and how to architect one
*The benefits of logical data warehouse – speed with agility
*The Insights Development Workbench – a framework in action
Data Fabric - Why Should Organizations Implement a Logical and Not a Physical...Denodo
Watch full webinar here: https://bit.ly/3fBpO2M
Data Fabric has been a hot topic in town and Gartner has termed it as one of the top strategic technology trends for 2022. Noticeably, many mid-to-large organizations are also starting to adopt this logical data fabric architecture while others are still curious about how it works.
With a better understanding of data fabric, you will be able to architect a logical data fabric to enable agile data solutions that honor enterprise governance and security, support operations with automated recommendations, and ultimately, reduce the cost of maintaining hybrid environments.
In this on-demand session, you will learn:
- What is a data fabric?
- How is a physical data fabric different from a logical data fabric?
- Which one should you use and when?
- What’s the underlying technology that makes up the data fabric?
- Which companies are successfully using it and for what use case?
- How can I get started and what are the best practices to avoid pitfalls?
Reinventing and Simplifying Data Management for a Successful Hybrid and Multi...Denodo
Watch full webinar here: https://bit.ly/3AdAzkW
Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo
Watch full webinar here: https://buff.ly/46pRfV7
This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.
Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.
Value for the Customer: Explore the tangible benefits that Denodo offers to its customers. From cost savings to improved decision-making, discover how the Denodo Platform helps organizations derive maximum value from their data assets.
Five Different Use Cases: Uncover five real-world use cases where Denodo's data virtualization platform has made a significant impact. From data governance to analytics, Denodo proves its versatility across a variety of domains.
- Logical Data Fabric
- Self Service Analytics
- Data Governance
- 360 degree of Entities
- Hybrid/Multi-Cloud Integration
Watch this illuminating session to gain insights into the transformative capabilities of the Denodo Platform.
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization Denodo
Watch here: https://bit.ly/2NGQD7R
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But that scenario is rapidly changing with the increasing adoption of real-time data virtualization - a paradigm shift in the approach that organizations take towards accessing, integrating, and provisioning data required to meet business goals.
As data analytics and data-driven intelligence takes centre stage in today’s digital economy, logical data integration across the widest variety of data sources, with proper security and governance structure in place has become mission-critical.
Attend this session to learn:
- Learn how you can meet cloud and data science challenges with data virtualization.
- Why data virtualization is increasingly finding enterprise-wide adoption
- Discover how customers are reducing costs and improving ROI with data virtualization
Govern and Protect Your End User InformationDenodo
Watch this Fast Data Strategy session with speakers Clinton Cohagan, Chief Enterprise Data Architect, Lawrence Livermore National Lab & Nageswar Cherukupalli, Vice President & Group Manager, Infosys here: https://buff.ly/2k8f8M5
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.
Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate compliance.
Attend this session to learn:
• How data virtualization provides a compliance foundation with data catalog, auditing, and data security.
• How you can enable single enterprise-wide data access layer with guardrails.
• Why data virtualization is a must-have capability for compliance use cases.
• How Denodo’s customers have facilitated compliance.
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Building a Logical Data Fabric using Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3FF1ubd
In the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we have discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.
In this session, you will learn how your organization can apply a logical data fabric and the associated technologies of machine learning, artificial intelligence, and data virtualization can reduce time to value. Hence, increasing the overall business value of your data assets.
KEY TAKEAWAYS:
- How a Logical Data Fabric is the right approach to assist organizations to unify their data.
- The advanced features of a Logical Data Fabric that assist with the democratization of data, providing an agile and governed approach to business analytics and data science.
- How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self-service.
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar to learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Accelerate Migration to the Cloud using Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/2JuD9NC
Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with a complex and big data landscape. Building the right data services architecture can help alleviate the pain points, whereby data virtualization comes to the rescue by enabling the companies to gain maximum benefits from cloud initiatives in form of agility, cost savings, and more.
In this webinar, you'll learn:
- How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
- Best practices of deploying the Denodo Platform in the cloud.
- Leverage Denodo's virtual data services layer to address and augment cloud solutions such as data warehouse modernization, data science, and data lakes in the cloud.
- Watch a demo showcasing data virtualization and analytics in the cloud.
The Shifting Landscape of Data IntegrationDATAVERSITY
Enterprises and organizations from every industry and scale are working to leverage data to achieve their strategic objectives — whether they are to be more profitable, effective, risk-tolerant, prepared, sustainable, and/or adaptable in an ever-changing world. Data has exploded in volume during the last decade as humans and machines alike produce data at an exponential pace. Also, exciting technologies have emerged around that data to improve our abilities and capabilities around what we can do with data.
Behind this data revolution, there are forces at work, causing enterprises to shift the way they leverage data and accelerate the demand for leverageable data. Organizations (and the climates in which they operate) are becoming more and more complex. They are also becoming increasingly digital and, thus, dependent on how data informs, transforms, and automates their operations and decisions. With increased digitization comes an increased need for both scale and agility at scale.
In this session, we have undertaken an ambitious goal of evaluating the current vendor landscape and assessing which platforms have made, or are in the process of making, the leap to this new generation of Data Management and integration capabilities.
Best Practices in the Cloud for Data Management (US)Denodo
Watch here: https://bit.ly/2Npt82U
If you have data, you are engaged in data management—be sure to do it effectively.
As organizations are assessing how COVID-19 has impacted their operations, new possibilities and uncharted routes are becoming the norm for many businesses. While exploring and implementing different deployment and operational models, the question of data management naturally surfaces while considering how these changes impact your data. Is this the right time to focus on data management? The reality is that if you have data, you are engaged in data management and so the real question is, are you doing it well?
Join Brice Giesbrecht from Caserta and Mitesh Shah from Denodo to explore data management challenges and solutions facing data driven organizations.
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
Watch full webinar here: https://buff.ly/3JC8gCS
Accelerating cloud adoption and modernizing analytics in the cloud has become a necessity to facilitate timely, insightful, and impactful decision making. However, with the widespread data in an organization across disparate hybrid cloud data sources poses a challenge with real time and well governed analytics. Data Virtualization is a modern data integration technique in which a single semantic layer can be built to help drive data democratization and speed up the analytics in an efficient and cost-effective manner.
Watch this session to learn:
- How various AWS services (Redshift, S3, RDS) can be quickly integrated using Denodo Platform’s logical data management by implementing a logical data fabric (LDF)
- How LDF helps you manage and deliver your data for data science and analytics programs, supporting your business users.
- How governed Data Services layer enables self-service analytics in your complex AWS data landscape
Presentation on Data Mesh: The paradigm shift is a new type of eco-system architecture, which is a shift left towards a modern distributed architecture in which it allows domain-specific data and views “data-as-a-product,” enabling each domain to handle its own data pipelines.
Belgium & Luxembourg dedicated online Data Virtualization discovery workshopDenodo
Watch full webinar here: https://bit.ly/33yYuQm
Data virtualization has become an essential part of enterprise data architectures, bridging the gap between IT and business users and delivering significant cost and time savings. This technology revolutionizes the way data is accessed, delivered, consumed and governed regardless of its format and location.
This 1.5 hour discovery session will show help you identify the benefits of this modern and agile data integration and management technology for your organisation.
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
ADV Slides: Building and Growing Organizational Analytics with Data LakesDATAVERSITY
Data lakes are providing immense value to organizations embracing data science.
In this webinar, William will discuss the value of having broad, detailed, and seemingly obscure data available in cloud storage for purposes of expanding Data Science in the organization.
A Successful Journey to the Cloud with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3mPLIlo
A shift to the cloud is a common element of any current data strategy. However, a successful transition to the cloud is not easy and can take years. It comes with security challenges, changes in downstream and upstream applications, and new ways to operate and deploy software. An abstraction layer that decouples data access from storage and processing can be a key element to enable a smooth journey to the cloud.
Attend this webinar to learn more about:
- How to use Data Virtualization to gradually change data systems without impacting business operations
- How Denodo integrates with the larger cloud ecosystems to enable security
- How simple it is to create and manage a Denodo cloud deployment
Simplifying Cloud Architectures with Data VirtualizationDenodo
Watch here: https://bit.ly/2yxLo6f
Moving applications and data to the Cloud is a priority for many organizations. The benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. However, the journey to the Cloud is not as easy as many people think. The process of moving application and data to the Cloud is challenging and can entail widespread disruption across the organization if not carefully managed. Even when systems are migrated to the Cloud, the resultant hybrid or multi-Cloud architecture is more complex for users to navigate, making it harder for them to get the data that they need to do their jobs.
Data Virtualization can help organizations at all stages of their journey to the Cloud - during migration and also in the resultant hybrid or multi-Cloud architectures. Attend this webinar to learn how Data Virtualization can:
- Help organizations manage risk and minimize the disruption caused as systems are moved to the Cloud
- Provide a single point of access for data that is both on-premise and in the Cloud, making it easier for users to find and access the data that they need
- Provide a security layer to protect and manage your data when it's distributed across hybrid or multi-Cloud architectures
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
Data Orchestration for the Hybrid Cloud EraAlluxio, Inc.
Alluxio Community Office Hour
October 20, 2020
For more Alluxio events: https://www.alluxio.io/events/
Speaker(s):
Alex Ma, Alluxio
Peter Behrakis, Alluxio
Many companies we talk to have on premises data lakes and use the cloud(s) to burst compute. Many are now establishing new object data lakes as well. As a result, running analytics such as Hive, Spark, Presto and machine learning are experiencing sluggish response times with data and compute in multiple locations. We also know there is an immense and growing data management burden to support these workflows.
In this talk, we will walk through what Alluxio’s Data Orchestration for the hybrid cloud era is and how it solves the performance and data management challenges we see.
In this tech talk, we'll go over:
- What is Alluxio Data Orchestration?
- How does it work?
- Alluxio customer results
Similar to Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC) (20)
Enterprise Monitoring and Auditing in DenodoDenodo
Watch full webinar here: https://buff.ly/3P3l4oK
Proper monitoring of an enterprise system is critical to understanding its capacity and growth, anticipating potential issues, and even understanding key ROI metrics. This also facilitates the implementation of policies and user access audits which are key to optimizing the resource utilization in an organization. Do you want to learn more about the new Denodo features for monitoring, auditing, and visualizing enterprise monitoring data?
Join us for the session with Vijayalakshmi Mani, Data Engineer at Denodo, to understand how the new features and components help in monitoring your Denodo Servers and the resource utilizations and how to extract the most out of the logs that the Denodo Platform generates including FinOps information.
Watch on-demand and Learn:
- What is a Denodo Monitor and what’s new in it?
- How to visualize the Denodo Monitor Information and use of Diagnostics & Monitoring Tool
- Introduction to the new Denodo Dashboard
- Demonstration on the Denodo Dashboard
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
Watch full webinar here: https://buff.ly/4bYOOgb
With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them.
Attend this session to learn:
- The importance of FinOps in a cloud architecture.
- How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from?
- What actions and controls the Denodo Platform offers to keep costs at bay.
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
Watch full webinar here: https://buff.ly/3wBhxYb
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Watch on-demand and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
What you need to know about Generative AI and Data Management?Denodo
Watch full webinar here: https://buff.ly/3UXy0A2
It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management.
Join us on this webinar to learn about:
- The opportunities and challenges presented by GenAI today.
- Exploiting GenAI to democratize data management.
- How to augment GenAI applications with corporate data and knowledge.
- How to get started.
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
Watch full webinar here: https://buff.ly/48rpLQ3
Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment.
This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges.
Key Takeaways:
- How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape?
- Keys to balancing data accessibility with security and privacy in today's data-driven environment.
- What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them?
We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
Watch full webinar here: https://buff.ly/3OCQvGk
In this session, Denodo Sales Engineer, Yik Chuan Tan, will guide you through the art of delivering a compelling demo of the Denodo Platform with Denodo Demo Lite. Watch to uncover the significant functionalities that set Denodo apart and learn how to effectively win over potential customers.
In this session, we will cover:
Understanding the Denodo Platform & Tailoring Your Demo to Prospect Needs: By gaining a comprehensive understanding of the Denodo Platform, its architecture, and how it addresses data management challenges, you can customize your demo to align with the specific needs and pain points of your prospects, including:
- seamless data integration with real-time access
- data security and governance
- self-service data discovery
- advanced analytics and reporting
- performance optimization scalability and deployment
Watch this Denodo demo session and acquire the skills and knowledge necessary to captivate your prospects. Whether you're a seasoned technical professional or new to the field, this session will equip you with the skills to deliver compelling demos that lead to successful conversions.
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
Watch full webinar here: https://buff.ly/3wdI1il
As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away.
Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value.
Key topics this panel will address include:
- Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh
- Deciding whether to consolidate data silos or bridge them with distributed data technologies
- Enabling easier self-service access and analytics across a distributed data environment
- Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments
- Monitoring and data observability for spotting problems and ensuring business satisfaction
Watch full webinar here: https://buff.ly/3UE5K5l
The ability to recognize and flag sensitive information within corporate datasets is essential for compliance with emerging privacy laws, for completing a privacy impact assessment (PIA) or data subject access request (DSAR), and also for cyber-insurance compliance. During this session, we will discuss data privacy laws, the challenges they present, and how they can be applied with modern tools.
Join us for the session driven by Mark Rowan, CEO at Data Sentinel, and Bhavita Jaiswal, SE at Denodo, who will show how a data classification engine augments Data Catalog to support data governance and compliance objectives.
Watch on-demand & Learn:
- Changing landscape of data privacy laws and compliance requirements
- How to create a data classification framework
- How Data Sentinel classifies data and this can be integrated into Denodo
- Using the enhanced data classifications via consuming tools such as Data Catalog and Power BI
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
Watch full webinar here: https://buff.ly/3OETC08
По данным аналитической компании Gartner, "к 2022 году 60% предприятий включат виртуализацию данных в качестве основного метода доставки данных в свою интеграционную архитектуру". Компания Gartner назвала Denodo лидером в Магическом квадранте 2020 года по инструментам интеграции данных.
В ходе этого 1,5-часового занятия вы узнаете, как виртуализация данных революционизирует бизнес и ИТ-подход к доступу, доставке, потреблению, управлению и защите данных, независимо от возраста вашей технологии, формата данных или их местонахождения. Эта зрелая технология устраняет разрыв между ИТ и бизнес-пользователями и обеспечивает значительную экономию средств и времени.
**ФОРМАТ
Онлайн-семинар продолжительностью 1 час 30 минут.
Благодаря записи вы можете выполнять упражнения в своем собственном темпе.
**ДЛЯ КОГО ЭТОТ СЕМИНАР?
ИТ-менеджеры / архитекторы
Специалисты по анализу данных / аналитики
CDO
**СОДЕРЖАНИЕ
В программе: введение в суть виртуализации данных, примеры использования, реальные примеры из практики клиентов и демонстрация возможностей платформы Denodo Platform:
Интеграция и предоставление данных быстро и легко с помощью платформы Denodo Platform 8.0
Оптимизатор запросов Denodo предоставляет данные в режиме реального времени, по запросу, даже для очень больших наборов данных
Выставлять данные в качестве "сервисов данных" для потребления различными пользователями и инструментами
Каталог данных: Открывайте и документируйте данные с помощью нашего Каталога данных
пространства для самостоятельного доступа к данным.
Виртуализация данных играет ключевую роль в управлении и обеспечении безопасности данных в вашей организации
**ПОВЕСТКА
Введение в виртуализацию данных
Примеры использования и примеры из практики клиентов
Архитектура - Управление и безопасность
Производительность
Демо
Следующие шаги: как самостоятельно протестировать и внедрить платформу
Интерактивная сессия вопросов и ответов
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
Watch full webinar here: https://buff.ly/41Zf31D
Despite recent and evolving technological advances, the vast amounts of data that exist in a typical enterprise is not always available to all stakeholders when they need it. In modern enterprises, there are broad sets of users, with varying levels of skill sets, who strive to make data-driven decisions daily but struggle to gain access to the data needed in a timely manner.
Join our webinar to learn how to:
- Unlock the Power of Your Data: Discover how data democratization can transform your organization by giving every user access to the data they need, when they need it.
- Say 'Goodbye' to Data Fragmentation: Learn practical strategies to break down data silos and foster a more collaborative and efficient data environment.
- Realize the Full Potential of Your Data: Hear success stories about industry leaders who have embraced data democratization and witnessed tangible results.
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
Watch full webinar here: https://buff.ly/48ZpEf1
In this session, we will cover a deeper dive into the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam by answering any questions that have developed since the previous session.
Additionally, we invite partners to bring any general questions related to Denodo, the Denodo Platform, or data management.
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
Watch full webinar here: https://buff.ly/3SnH5QY
2023 is coming to an end where organisations dependency on trusted, accurate, secure and contextual data only grows more challenging. The perpetual aspect in seeking new architectures, processes, organisational team structures to "get the business their data" and reduce the operating costs continues unabated. While confidence from the business in what "value" is being derived or "to be" delivered from these investments in data, is being heavily scrutinised. 2023 saw significant new releases from vendors, focusing on the Data Fabric.
At this session we will look at these topics and key takeaways for 2023, including;
- Data management and data integration market highlights for 2023
- Key achievements for Denodo in their journey as a leader in this market
- A few case studies from Australian organisations in how they are delivering strategic business value through Denodo's Data Fabric platform and what they have been doing differently
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
Watch full webinar here: https://buff.ly/3S4Y49o
A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof?
For example:
- Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation.
- Data Architectures will need to adapt to feed these powerful new models.
- Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads better.
Join us for a discussion on the most significant trends in the Data & AI space, and how you can prepare to ride this wave!
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
Watch full webinar here: https://buff.ly/3O7rd2R
Afin d’être conformes au RGPD, les entreprises ont besoin d'avoir une vue d'ensemble sur toutes leurs données et d'établir des contrôles de sécurité sur toute l'infrastructure. La virtualisation des données de Denodo permet de rassembler les multiples sources de données, de les rendre accessibles à partir d'une seule couche, et offre des capacités de monitoring pour surveiller les changements.
Pour cela, Square IT Services a développé pour l’un de ses grands clients français prestigieux dans le secteur du luxe une interface utilisateur ergonomique qui lui permet de consulter les informations personnelles de ses clients, vérifier leur éligibilité à pratiquer leur droit à l'oubli, et de désactiver leurs différents canaux de notification. Elle dispose aussi d'une fonctionnalité d'audit qui permet de tracer l'historique des opérations effectuées, et lui permet donc de retrouver notamment la date à laquelle la personne a été anonymisée.
L'ensemble des informations remontées au niveau de l'application sont récupérées à partir des APIs REST exposées par Denodo.
Dans ce webinar, nous allons détailler l’ensemble des fonctionnalités de l’application DPO-Cockpit autour d’une démo, et expliquer à chaque étape le rôle central de Denodo pour réussir à simplifier la gestion du RGPD tout en étant compliant.
Les points clés abordés:
- Contexte client face aux enjeux du RGPD
- Défis et challenges rencontrés
- Options et choix retenu (Denodo)
- Démarche: architecture de la solution proposée
- Démo de l'outil: fonctionnalités principales
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
Watch full webinar here: https://buff.ly/48zzN2h
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
How to Build Your Data Marketplace with Data Virtualization?Denodo
Watch full webinar here: https://buff.ly/4aAi0cS
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this live webinar to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
Enabling Data Catalog users with advanced usabilityDenodo
Watch full webinar here: https://buff.ly/48A4Yu1
Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities.
Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog.
Watch on-demand & Learn:
- Enhanced search capabilities using multiple terms.
- How to create workflows to manage internal requests.
- How to leverage the AI capabilities of Data Catalog to generate SQL queries from natural language.
Watch full webinar here: https://buff.ly/3vjrn0s
The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture.
This exam covers the following technical topics and subject areas:
- Denodo Platform functionality, including
- Governance and metadata management
- Security
- Performance optimization
- Caching
- Defining Denodo Platform use scenarios
Along with some sample questions, a Denodo Sales Engineer will help you prepare for exam topics and ace the exam.
Join us now to start your journey toward becoming a Certified Denodo Architect Associate!
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
Watch full webinar here: https://buff.ly/3NLMSNM
El Generative AI y los Large Language Models (LLMs), encabezados por GPT de OpenAI, han supuesto la mayor revolución en el mundo de la computación de los últimos años. Pero ¿Cómo afectan realmente a la gestión de datos? ¿Reemplazarán los LLMs al profesional de la gestion de datos? ¿Cuánto hay de mito y cuánto de realidad?
En esta sesión revisaremos:
- Que es la Generative AI y por qué es importante para la gestión de datos
- Presente y futuro de aplicación de genAI en el mundo de los datos
- Cómo preparar tu organización para la adopción de genAI
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
5. A data fabric is an architecture pattern that informs and automates the design,
integration and deployment of data objects regardless of deployment platforms and
architectural approaches.
It utilizes continuous analytics and AI/ML over all metadata assets to provide actionable
insights and recommendations on data management and integration design and
deployment patterns.
This results in faster, informed and, in some cases, completely automated data access
and sharing.
Data Fabric Definition
5
6. 6
Pictorial View of a Data Fabric – from Gartner
Data Fabric Net
Compounds Customers Products Claims
RDBMS/OLTP
Flat Files
Legacy
Third Party
Traditional Analytics/BI
Data Warehouse
ETL ETL
Mart Mart
Data Lakes Cloud Data Stores Apps andDocument
Repositories
XML • JSON • PDF
DOC • WEB
7. - Forrester Research, June 2020
“Dynamically orchestrating disparate data sources intelligently and
securely in a self-service manner and leveraging various data platforms to
deliver integrated and trusted data to support various applications,
analytics, and use cases”
Data Fabric Definition
7
8. 8
Data management
Metadata/catalog
Data security
Data governance
Data processing
Data quality
Data lineage
Global distributed platform, in-memory, embedded,
self-service, and APIs
AI/ML
Global data access
Data modeling, preparation, curation, and graph engine
AI/ML
Data discovery
Transformation, integration, and cleansing
AI/ML
Data orchestration
Data platform —
processing
Data processing/
persistence
Hadoop
NoSQL
Spark
Policies
Ingestion, streaming, and data movement Data ingestion/streaming
AI/ML AI/ML
On-premises
Cloud Data sources
Data lake
EDW/BDW
AI/ML
Forrester Data Fabric Architecture
9. 9
Data management
Metadata/catalog
Data security
Data governance
Data processing
Data quality
Data lineage
Global distributed platform, in-memory, embedded,
self-service, and APIs
AI/ML
Global data access
Data modeling, preparation, curation, and graph engine
AI/ML
Data discovery
Transformation, integration, and cleansing
AI/ML
Data orchestration
Data platform —
processing
Data processing/
persistence
Hadoop
NoSQL
Spark
Data lake
EDW/BDW
AI/ML
Policies
Ingestion, streaming, and data movement Data ingestion/streaming
AI/ML AI/ML
On-premises
Cloud Data sources
The Logical Data Fabric Architecture
10. 10
• Data Abstraction: decoupling
applications/data usage from data
sources
• Data Integration without replication
or relocation of physical data
• Easy Access to Any Data, high
performant and real-time/ right-
time
• Data Catalog for self-service data
services and easy discovery
• Unified metadata, security &
governance across all data assets
• Data Delivery in any format with
intelligent query optimization that
leverages new and existing
physical data platforms
A logical data layer – a “logical data fabric” – that provides high-performant, real-time, and secure
access to integrated business views of disparate data across the enterprise
Data Virtualization: Logical Data Fabric
11. 11
Stages of a Cloud Journey
All systems are on-premise.
Using traditionaldatabases,
etc. – maybe an on-premise
Hadoop cluster. Lots of ETL
pipelines. Using Denodofor
integrated view of data.
Systems are now on-premise and in the Cloud –
initially hosted by the preferred Cloud provider. The
data is balanced across the different environments
although the bulk of the data is initially on-premise.
ETL-style data movement is often used to move data
from on-premise systems to Cloud-based analytical
systems. The systems are more complex and users
need to be able to find and access data from on-
premise and Cloud locations.
In reality, this is a hybrid/multi-Cloud environment, with
systems in multiple Clouds (AWS, Azure, GCP, Salesforce,
etc.) and a few legacy systems still on-premise. The
environment is even more complex as workloads can
move between Cloud providers to take advantage of new
capabilities, cost optimization, etc. Users still need to find
and access data in this environment.
System modernization initiatives move applications and
data to the Cloud. For critical systems, this migration is
typically a phased approach over a period of months(or
years).
On-
Premise
Transition
to Cloud
Hybrid
Single
Cloud
Multi-
Cloud
(Note: Most organizations skip this stage and go straight to
multi-Cloud)
Systems have moved to the Cloud (although some systems
are still on-premise and cannot be moved to the Cloud).
The ‘center of gravity’ for data is solidly in the Cloud. More
processing and data integration occurs in the Cloud. Data is
moved from on-premise systems to the Cloud using ETL.
User data access is predominantly from Cloud systems.
12. 12
Cloud Migrations Options
• Re-Host – ‘Lift and Shift’ – Take existing data and copy it to Cloud “as is” into same
database
• Good for smaller data sets or data sets with low importance
• Re-Platform – Relocate to new database running on Cloud – everything else stays
the same
• e.g. move from Oracle 12g to Snowflake
• Re-Factor/Re-Architect – Move to a different database *and* change the data
schema
• e.g. move from Oracle to Redshift and re-factor data model, partitioning, etc.
14. 14
Cloud Migration Using Data Virtualization
• Large or critical Cloud migrations are risky
• Big Bang approach is not advised
• Phased approach is recommended
• Select data set to migrate, copy to Cloud
• Test and tune data access, then go live
• Repeat for next data set and so on
• Use Denodo as abstraction layer during
migration process
• Isolate users from shift of data
15. 15
Hybrid Data Integration with a Logical Data Fabric
Common access point for both on-premise
and cloud sources
• Access to all sources as a single
schema
with no replication: Virtual data lake
• Enables combination of data
across
sources, regardless of nature and
location
• Allows definition of common
semantic
model
• Single security model and single
Active
Directory
Data Center
Cloud
16. 16
Multi-Cloud Integration with Logical Data Fabric
Amazon RDS,
Aurora
US East
AvailabilityZone
EMEA
AvailabilityZone
On-prem
data center
17. 17
BHP Builds a Logical Data Fabric Using Data Virtualization
BHP wanted to manage business risk by integrating data systems across
multiple geographies. But this was a time consuming and expensive operation.
BHP’s global application landscape provides limited and restricted reusability of existing
data platforms which lead to:
• Repeated engineering effort to access the same data sources for different data
solutions
• Long lead times to ingest or load data before a data solu on can be developed
• Project-centric data repositories are created to provide a consolidated set of data for
a specific purpose, increasing total cost of ownership, complexity and variability in
data interpretation
BHP is among the world's
top producers of major
commodities including iron
ore, coal and copper. They
have a global presence with
operations and offices
across Australia, Asia, UK,
Canada, USA and central
and south America.
18. 18
Reference Architecture
Data Source
Application data stores
SaaS / Cloud Applications
Application interfaces
Manual data sources
Data Virtualization Platform Consumers
Enterprise &
Regional Data
Stores
Self Service Data Catalogue
Query
Optimisation
Query
Development
Data
Federation
Data
Discovery
Abstraction / Semantic Layer
Security Layer
Kerberos Delegation + Encryption in Transit + Extensive Auditing
Secure
Faster
Connect to data stores or direct to source Get access to the right data, fast.
Self service
Flexible protocols
Analytics
Self Service
Business Intelligence
Transactional Applications
Bring your own tool
Built using
technology by
19. 19
Query Federation to Local Data Sources
Every Data Virtualization cluster is connected to local
data sources, and is the access point for local
consumer apps such as BI and analytics tools. Each
Data Virtualization cluster has visibility of the datasets
available from all other clusters, and requests this data
from it's peer cluster as required by end users
Brisbane
Perth
Santiago
Houston
Cloud
Tenancy
Data
Lake
Data
Mart
Data
Mart
Analytics
Analytics
Analytics
20. 20
1. Cloud architectures – both hybrid and multi-Cloud – are complex beasts
▪ A Logical Data Fabric using Data Virtualization can simplify the
architecture andmake
it easier for users to find and access the data that theyneed
2. In a multi-Cloud architecture, the Data Fabric should also be distributed –
providing global access to data coupled with local control
3. A Data Fabric also provides a unified security layer for data access
▪ A single place to enforce data access control – allowing users to access
the data that
they need rather than data based on organizationalsilos
Conclusions
22. 22
Demo Scenario
Tim
Mary
Jane
Manager
(South Region)
Manager
(North Region)
Data Analyst
(Corporate)
• Access to Southern Region Employee data
• Unnecessary data hidden or masked
• e.g. monthly salary, bonus rate, DOB
& email address
• No access to Northern Region data at all
• Access to Northern Region Staff data
• Unnecessary data hidden or masked
• e.g. monthly salary, bonus rate, DOB &
email address
• No access to Southern Region data at all
• Access to all de-identified employee data
• PII data hidden
• Access to data in all locations (North & South)
24. 24
1
2
3
4
5
6
7
8
9
10
SINGLE ACCESS POINT
APPLY BUSINESS RULES
PUBLISH DATA FOR RE-USE
BUILD A LOGICAL VIEW
APPLY DATA SECURITY
DATA DISCOVERY
CONNECT TO DISPARATE DATA
3RD PARTY TOOL ACCESS
HARVEST THE METADATA
Demonstrate
STANDARDIZE DATA
25. South - Oracle North - Snowflake
Differences in tables
Different Table
Names
Different Field
Names
Different values
/ reference
26. North - Snowflake
South - Oracle Standarardised views
Same Naming
Convention
Same Field
Names
Standardised
Values