Multi-Cloud Data Integration with Data Virtualization (APAC)
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Watch full webinar here: https://bit.ly/3cnw5MW More and more organization 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 high 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 session, 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
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With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data like through an abstraction layer. Data virtualization can facilitate and expedite accessing and exploring critical data in a cost-effective manner and assist in deriving a greater return on the data lake investment.
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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.
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Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on.
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As Forrester so astutely reported in their recent Total Economic Impact Study, companies who employed Data Virtualization reported a “65% decrease in data delivery times over ETL” and an “83% reduction in time to new revenue.”
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- How quickly and easily, Data Virtualization can scale, even in the most complex environments, to create a universal abstraction semantic model(s) for all of your cloud, on premise, structured, unstructured and hybrid data
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- Other customers have used, and are using, Data Virtualization to tackle their toughest data integration and data delivery challenges
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Data virtualization an introduction
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
Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...
Watch full webinar here: https://bit.ly/3rnxYzr
In this presentation, TDWI analyst will describe data virtualization as an appropriate data management strategy when advanced analytics applications demand very fresh data or when advanced analytics data is distributed across multiple data platforms in a hybrid data architecture.
Enabling Self-Service Analytics with Logical Data Warehouse
Watch full webinar here: https://buff.ly/2GNO8PC
What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
Attend this webinar to learn:
* How easily new data sources can be made available for analytics and data science
* How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
* How LDWs help integrate self-service analytics with classic forms of business intelligence
Logical Data Warehouse: The Foundation of Modern Data and Analytics
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
Building a Consistent Hybrid Cloud Semantic Model In Denodo
Watch full webinar here: https://bit.ly/2UhNem8
Many businesses are moving to the Cloud. This process can take many years with data spanning On-Prem and Cloud. When Denodo needs to be deployed in a Hybrid Cloud Architecture, how should one implement that?
Join this session to get a deep dive look at how to create a shared Virtual Database that exposes a consistent Semantic Model using Denodo’s Interfaces. Both On Prem and Cloud will have their own Virtual Databases.
Watch on-demand this webinar to learn:
- How to create a Semantic Data Model
- How to use Denodo Interfaces to abstract data access for the Semantic Model
- How to create a shared Virtual Database
DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization
Watch full webinar here: https://buff.ly/2HMdbUp
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
• Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.
A Logical Architecture is Always a Flexible Architecture (ASEAN)
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
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
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.
Customer Keynote: Data Service and Security at an Enterprise Scale with Logic...
Watch full webinar here: https://bit.ly/3xepiQa
Denodo customer McCormick created a logical data fabric (LDF) with data virtualization, to create Enterprise Data Service (EDS) for self-service analytics, integration, web and mobile applications. Listen to this presentation to learn how McCormick uses LDF for better business decisions and strategic planning via democratized information assets and in the process minimize information consumption risks via centralized security model.
The Virtualization of Clouds - The New Enterprise Data Architecture Opportunity
Watch full webinar here: https://bit.ly/3x7xVuR
Organizations worldwide are adopting a variety of the public cloud service providers (i.e. AWS, Google, Microsoft) and each have a portfolio of storage, compute, network, and security options. All of which create significant challenges in managing a hybrid and multi-cloud enterprise architecture. Even worse is the impact to the governance and integration of data from the clouds and physical infrastructure to support the broad array of analytics and operational requirements.
Can one public cloud provider meet all your needs today and in the future? How do you manage across multiple public and private clouds you have today and where your data exists? And, how would you manage and operate your multi-cloud and on-premises systems to gain value from your data in any of them? The Chief Research Officer at Ventana Research, Mark Smith, will expound the challenges and path ahead for virtualization and integration of your data and the clouds, setting an architectural path for best success.
Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtua...
Watch full webinar here: https://bit.ly/2Yc8nkc
The Protection of Personal Information Act (POPI) came into full effect in South Africa on July 1st, 2021. POPI will affect how businesses that serve in South Africa collect, use and transfer data, forcing them to provide specific reasons and needs for the personal data they gather and prove their compliance with the principles established by the regulation.
The regulation is already creating many challenges for companies, including:
- Ensuring secure access to most current data, whether on or off-premise
- Consistent security across all data sources
- Data access audit
- Ability to provide data lineage
This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the POPI Act. It will also include a live demonstration of how easy it can be to achieve the desired level of security with data virtualization. Data virtualization is an agile, flexible data integration technology that can help organizations address the growing challenges in data governance, security, and compliance.
Join the webinar to learn more about the benefits of using data virtualization to smoothly comply with the POPI Act.
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
Watch full webinar here: https://bit.ly/3bBArAc
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
Solution Centric Architectural Presentation - Implementing a Logical Data War...
Watch full webinar here: https://bit.ly/3H5AYZf
Implementing a logical data fabric as an architecture makes absolute sense when you have data spread across various sources in the cloud, including data warehouses, data lakes and even realtime data. In this session our customer will discuss the ways in which they implemented Denodo as a logical data fabric and how it helped them reduce risk and speed up time to access data.
Data Virtualization: An Introduction
Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The most important use cases and key patterns of data virtualization
• The benefits of data virtualization
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
Watch full webinar here: https://bit.ly/3kr0oq4
So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?
Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.
With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data like through an abstraction layer. Data virtualization can facilitate and expedite accessing and exploring critical data in a cost-effective manner and assist in deriving a greater return on the data lake investment.
You might still not be convinced. Give us an opportunity and join us as we try to bust this myth!
Watch this webinar as we explore the promises of a data lake as well as its downfalls to draw a final conclusion.
What's hot (20)
Data Virtualization for Compliance – Creating a Controlled Data Environment
Data Virtualization for Compliance – Creating a Controlled Data Environment
Cloud Migration headache? Ease the pain with Data Virtualization! (EMEA)
Cloud Migration headache? Ease the pain with Data Virtualization! (EMEA)
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Building a Single Logical Data Lake: For Advanced Analytics, Data Science, an...
Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...
Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...
Enabling Self-Service Analytics with Logical Data Warehouse
Enabling Self-Service Analytics with Logical Data Warehouse
Logical Data Warehouse: The Foundation of Modern Data and Analytics
Logical Data Warehouse: The Foundation of Modern Data and Analytics
Building a Consistent Hybrid Cloud Semantic Model In Denodo
Building a Consistent Hybrid Cloud Semantic Model In Denodo
DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization
DAMA Webinar: Turn Grand Designs into a Reality with Data Virtualization
A Logical Architecture is Always a Flexible Architecture (ASEAN)
A Logical Architecture is Always a Flexible Architecture (ASEAN)
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
How to Build the Data Mesh Foundation: A Principled Approach | Zhamak Dehghan...
Customer Keynote: Data Service and Security at an Enterprise Scale with Logic...
Customer Keynote: Data Service and Security at an Enterprise Scale with Logic...
The Virtualization of Clouds - The New Enterprise Data Architecture Opportunity
The Virtualization of Clouds - The New Enterprise Data Architecture Opportunity
Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtua...
Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtua...
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)
Data virtualization in the cloud – accelerating time to-value
Data virtualization in the cloud – accelerating time to-value
Solution Centric Architectural Presentation - Implementing a Logical Data War...
Solution Centric Architectural Presentation - Implementing a Logical Data War...
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...
Similar to Multi-Cloud Data Integration with Data Virtualization (APAC)
Multi-Cloud Integration with Data Virtualization (ASEAN)
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
Modernizing Integration with Data Virtualization
Watch full webinar here: https://bit.ly/3CMqS0E
Today, businesses have more data and data types combined with more complex ecosystems than they have ever had before. Examples include on-premise data marts, data warehouses, data lakes, applications, spreadsheets, IoT data, sensor data, unstructured, etc. combined with cloud data ecosystems like Snowflake, Big Query, Azure Synapse, Amazon S3, Redshift, Databricks, SaaS apps, such as Salesforce, Oracle, Service Now, Workday, and on and on.
Data, Analytics, Data Science and Architecture teams are struggling to provide the business users with the right data as quickly and efficiently as possible to quickly enable Analytics, Dashboards, BI, Reports, etc. Unfortunately, many enterprises seek to meet this pressing need by utilizing antiquated and legacy 40+ year-old approaches. There is a better way. Proven by thousands of other companies.
As Forrester so astutely reported in their recent Total Economic Impact Study, companies who employed Data Virtualization reported a “65% decrease in data delivery times over ETL” and an “83% reduction in time to new revenue.”
Join us for this very educational webinar to learn firsthand from Denodo Technologies and Fusion Alliance how:
- Data Virtualization helps your company save time and money by eliminating superfluous ETL pipelines and data replication.
- Data Virtualization can become the cornerstone of your modern data approach to deliver data faster and more efficiently than old legacy approaches at enterprise scale.
- How quickly and easily, Data Virtualization can scale, even in the most complex environments, to create a universal abstraction semantic model(s) for all of your cloud, on premise, structured, unstructured and hybrid data
- Data Mesh and Data Fabric architecture patterns for maximum reuse
- Other customers have used, and are using, Data Virtualization to tackle their toughest data integration and data delivery challenges
- Fusion Alliance can help you define a data strategy tailored to your organization’s needs and requirements, and how they can help you achieve success and enable your business with self-service capabilities
DAS Slides: Data Virtualization – Separating Myth from Reality
Data virtualization is a practice that logically integrates data from disparate sources without the need to physically move the data. While this can be an appealing prospect, there is a good deal of confusion around this technology and how to use it to full advantage. This webinar will explain the pros and cons of data virtualization, along with practical use cases for implementation.
Data Architecture Strategies: Data Architecture for Digital Transformation
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
Connecta Event: Big Query och dataanalys med Google Cloud Platform
Avancerad dataanalys och ”big data” har under de senaste åren klättrat på trendlistorna och är nu ett av de mest prioriterade områdena i utvecklingen av nya tjänster och produkter för ledarföretag i det digitala landskapet.
Informationen som byggs upp i systemen när kundmötena digitaliseras har visat sig vara guld värt. Här finns allt vi behöver veta för att göra våra affärer mer effektiva.
Sedan sommaren 2013 har Connecta tillsammans med Google ett etablerat samarbete för att hjälpa våra kunder med övergången till moln-tjänster för bland annat avancerad dataanalys. För att göra oss själva redo att hjälpa våra kunder har vi under ett antal år utvecklat såväl kunskaper som skaffat oss erfarenheter kring Googles olika moln-produkter, som exempelvis ”Big Query”.
Big Query är ett molnbaserat analysverktyg och en del av Google Cloud Platform. Big Query gör det möjligt att ställa snabba frågor mot enorma dataset på bara någon sekund. Big Query och Google Cloud Platform erbjuder färdiga lösningar för att sätta upp och underhålla en infrastruktur som med enkla medel gör allt detta möjligt.
På Connecta Digital Consultings tredje event för våren introducerade vi våra kunder och partners i koncepten dataanalys och Big Query.
Under eventet berördes följande punkter:
- Big Data och Business Intelligence (BI)
- “The Google Big Data tools” – framgångsfaktorer och hur man kommer igång
- Google Cloud Platform och hur man genomför en framgångsrik molnsatsning
Vi presenterade case och berättade om viktiga lärdomar vi dragit i samarbetet med Google och våra kunder.
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace – from digital transformation, to marketing, to customer centricity, to population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Looking to the Future: Embracing the Cloud for a More Modern Data Quality App...
Data quality: it’s what we all strive for, and yet we don’t always have what we need to achieve it.
Embracing the cloud with a more holistic, yet simplified user experience will help you find exponential value in your data today – and plan for tomorrow. Join us to learn about a more modern approach that will empower your teams to more deeply understand, trust, and pro-actively address anomalies in your critical data.
Learn more about the value of next-generation cloud solutions that will power your organization into the future by joining us on September 22 where you will hear from Precisely’s Emily Washington, SVP of Product Management, Chuck Kane, VP of Product Management, and David Woods, SVP of Strategic Services. Be sure to bring your questions for our team of experts to the live Q&A session following their presentations and demos.
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
Watch full webinar here: https://bit.ly/3w1E1Nx
This presentation featuring guest speaker Deb Mukherji, Practice Head – Data Analytics & AI from our partner firm Tech Mahindra provides practical tips on how to start and later expand a logical data fabric implementation. Implementing a logical data fabric is not a one-shot deal. It is a journey. How do you start small, demonstrate ROI, and then expand to additional use cases? This presentation provides practical tips on how to start and later expand a logical data fabric implementation.
Don't miss out, register for this complimentary webinar now to learn:
- The enterprise data management challenges.
- Advantages of a logical data fabric over a physical data warehouse.
- How to architect a logical data fabric using data virtualization.
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
Multi-Cloud-Datenintegration mit Datenvirtualisierung
Watch full webinar here: https://bit.ly/3bcwEaS
Laut einer aktuellen Gartner Studie nutzen 81% der Organisationen Cloud-Services von zwei oder mehreren Anbietern, um eine hohe Flexibilität und bestmögliche Performance zu erzielen. Dies führt zu einer komplexen Infrastruktur, die sowohl das Auffinden von Daten als auch den Zugriff auf diese Daten erschwert.
Durch Datenvirtualisierung wird eine dezidierte Schicht für das Data-Discovery und den Datenzugriff angeboten. Durch eine „Multi-Location-Architektur“ wird den Nutzern ein umfänglicher und gemanagter Zugriff auf Daten ermöglicht. Dieser Zugriff ist unabhängig davon, ob sich die Daten in einem Rechenzentrum oder einer (beliebigen) Cloud befinden! Gleichzeitig behalten die "Data Owner" die lokale Kontrolle über ihre Daten und lokale Datenschutzbestimmungen (z.B. DSGVO) werden eingehalten.
Key Takeaways dieses Webinars:
- Herausforderungen bei der Einführung von Multi-Cloud-Datenstrategien
- Wie mit der Denodo-Plattform ein gemanagter „Data Access Layer“ für die gesamte Organisation bereitgestellt wird
- Multi-Location Architekturen, die gleichermaßen die lokale Kontrolle als auch den Echtzeitzugriff auf Daten ermöglichen
Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making
Watch full webinar here: https://bit.ly/37YkgN4
This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.
These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.
During the session we'll address:
- What is a data-driven enterprise?
- What are the critical success factors?
- What are companies doing to create a data-driven enterprise and why?
- What progress are they making?
- What are the plans on people, process and technologies?
- Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
- How should you get started?
Powering Real-Time Analytics with Data Virtualization on AWS (ASEAN & ANZ)
Watch full webinar here: https://bit.ly/3h2yLnb
Presented at AWS Summit Online 2021 (ASEAN & ANZ)
Is your organization challenged with modernizing analytics in the cloud, while driving smarter data integration capabilities? With a logical data warehouse powered by data virtualization, you can combine all of the data across the enterprise and make it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions.
In this session, you will learn how data virtualization helps enterprises gain a unified view of the data across AWS, multi-cloud and hybrid cloud easily with a virtual data layer that abstracts business users from the technical details of where data resides.
Data Virtualization: An Introduction
Watch full webinar here: https://bit.ly/2vN59VK
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.
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)
Watch full webinar here: https://bit.ly/3idAnbf
Heute werden hochwertige Daten schnell und integriert benötigt, mittlerweile häufig auch über unterschiedliche Clouds hinweg.
Datenvirtualisierung kann hier als logische Datenschicht wahre Wunder wirken und die Modernisierung der Datenarchitektur drastisch beschleunigen.
In unserem kostenlosen Webinar interviewen wir den Experten Otto Neuer von Denodo, der die hier nur angerissenen Gedanken weiter ausführt. Er wird uns Einblicke in den Wandel von Datenarchitekturen geben und wie aus seinem Blickwinkel die nächste Phase der Business Intelligence aussieht.
Was Sie mitnehmen:
- Was sind die Herausforderungen und Limitierungen traditioneller Datenarchitekturen
- Wie können mit modernen Architekturen diese Limitierungen aufgehoben werden
- Welche Rolle spielt Datenvirtualisierung bei modernen Datenarchitekturen
- Was ist die nächste Phase der Business Intelligence
Erfahren Sie am 23. September 2020, den Experten Otto Neuer von Denodo zusammen mit unserem Partner QuinScape GmbH wird uns Einblicke in den Wandel von Datenarchitekturen geben und wie aus seinem Blickwinkel die nächste Phase der Business Intelligence aussieht.
Sie haben Interesse? Dann melden Sie sich am besten direkt an - die Plätze der Veranstaltung sind begrenzt.
Die Big Data Fabric als Enabler für Machine Learning & AI
Ansehen: https://bit.ly/2Cet17K
Erstklassige Big Data Fabrics liefern verlässliche Insights, gewährleisten höchste End-to-End Sicherheitsstandards und ermöglichen eine konsistente Datenintegration in Echtzeit – während den Business-Anwendern agile Werkzeuge zum selbstgesteuerten Datenkonsum bereitgestellt werden.
Erfahren Sie in dem Vortrag, wie die Big Data Fabric als Enabler für ML & AI:
- den Business-Anwendern und Data Scientists einen schnellen und agilen Datenzugriff via Self-Services ermöglicht
- Data Governance und Security Richtlinien zentral und verlässlich managebar macht
- relevante Insights aus aktuellen und konsistenten Daten liefert
¿En qué se parece el Gobierno del Dato a un parque de atracciones?
Watch full webinar here: https://bit.ly/3Ab9gYq
Imagina llegar a un parque de atracciones con tu familia y comenzar tu día sin el típico plano que te permitirá planificarte para saber qué espectáculos ver, a qué atracciones ir, donde pueden o no pueden montar los niños… Posiblemente, no podrás sacar el máximo partido a tu día y te habrás perdido muchas cosas. Hay personas que les gusta ir a la aventura e ir descubriendo poco a poco, pero cuando hablamos de negocios, ir a la aventura puede ser fatídico...
En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de esa información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos.
La virtualización de datos, herramienta estratégica para implementar y optimizar el gobierno del dato, permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos.
En este webinar aprenderás a:
- Acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información.
- Activar en toda la empresa una sola capa de acceso a los datos con medidas de protección.
- Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.
Is your big data journey stalling? Take the Leap with Capgemini and Cloudera
Transitioning to a Big Data architecture is a big step; and the complexity of moving existing analytical services onto modern platforms like Cloudera, can seem overwhelming.
6 Solution Patterns for Accelerating Self-Service BI, Cloud, Big Data, and Ot...
A presentation by Saptarshi Sengupta, Sr. Product Marketing Manager, at the Fast Data Strategy Roadshow in San Francisco Bay Area.
For more information of Fast Data Strategy Roadshows, follow this link: https://goo.gl/wtwpBN
What is the future of data strategy?
Watch here: https://bit.ly/3i2iJbu
You will often hear that "data is the new gold". In this context, data management is one of the areas that has received more attention by the software community in recent years. From Artificial Intelligence and Machine Learning to new ways to store and process data, the landscape for data management is in constant evolution. From the privileged perspective of an enterprise middleware platform, we at Denodo have the advantage of seeing many of these changes happen.
Join us for an exciting session that will cover:
- The most interesting trends in data management.
- Our predictions on how those trends will change the data management world.
- How these trends are shaping the future of data virtualization and our own software.
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...
This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.
In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.
Similar to Multi-Cloud Data Integration with Data Virtualization (APAC) (20)
Multi-Cloud Integration with Data Virtualization (ASEAN)
Multi-Cloud Integration with Data Virtualization (ASEAN)
DAS Slides: Data Virtualization – Separating Myth from Reality
DAS Slides: Data Virtualization – Separating Myth from Reality
Data Architecture Strategies: Data Architecture for Digital Transformation
Data Architecture Strategies: Data Architecture for Digital Transformation
Connecta Event: Big Query och dataanalys med Google Cloud Platform
Connecta Event: Big Query och dataanalys med Google Cloud Platform
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Building a Data Strategy – Practical Steps for Aligning with Business Goals
Looking to the Future: Embracing the Cloud for a More Modern Data Quality App...
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Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
Logical Data Fabric: Maturing Implementation from Small to Big (APAC)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)
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Multi-Cloud-Datenintegration mit Datenvirtualisierung
Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making
Analyst Webinar: Best Practices In Enabling Data-Driven Decision Making
Powering Real-Time Analytics with Data Virtualization on AWS (ASEAN & ANZ)
Powering Real-Time Analytics with Data Virtualization on AWS (ASEAN & ANZ)
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)
Die Big Data Fabric als Enabler für Machine Learning & AI
Die Big Data Fabric als Enabler für Machine Learning & AI
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¿En qué se parece el Gobierno del Dato a un parque de atracciones?
Is your big data journey stalling? Take the Leap with Capgemini and Cloudera
Is your big data journey stalling? Take the Leap with Capgemini and Cloudera
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6 Solution Patterns for Accelerating Self-Service BI, Cloud, Big Data, and Ot...
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More from Denodo
Enterprise Monitoring and Auditing in Denodo
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 Approach
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 Layer
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?
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 Landscape
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 Lite
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...
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
Drive Data Privacy Regulatory Compliance
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 данных
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 Fragmentation
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 Anything
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!
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 Forward
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...
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...
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?
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 Unions
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 usability
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.
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
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 realidades
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
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Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps Approach
Achieving Self-Service Analytics with a Governed Data Services Layer
Achieving Self-Service Analytics with a Governed Data Services Layer
What you need to know about Generative AI and Data Management?
What you need to know about Generative AI and Data Management?
Mastering Data Compliance in a Dynamic Business Landscape
Mastering Data Compliance in a Dynamic Business Landscape
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Denodo Partner Connect: Business Value Demo with Denodo Demo Lite
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...
Знакомство с виртуализацией данных для профессионалов в области данных
Знакомство с виртуализацией данных для профессионалов в области данных
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Data Democratization: A Secret Sauce to Say Goodbye to Data Fragmentation
Denodo Partner Connect - Technical Webinar - Ask Me Anything
Denodo Partner Connect - Technical Webinar - Ask Me Anything
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way Forward
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...
How to Build Your Data Marketplace with Data Virtualization?
How to Build Your Data Marketplace with Data Virtualization?
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Webinar #2 - Transforming Challenges into Opportunities for Credit Unions
Enabling Data Catalog users with advanced usability
Enabling Data Catalog users with advanced usability
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
Denodo Partner Connect: Technical Webinar - Architect Associate Certification...
GenAI y el futuro de la gestión de datos: mitos y realidades
GenAI y el futuro de la gestión de datos: mitos y realidades
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SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
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4毕业证成绩单电子版您确认信息无误之后安排制作成品；
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6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。有一次山娃坐在门口写作业写着写着竟伏在桌上睡着了迷迷糊糊中山娃似乎听到了父亲的脚步声当他晃晃悠悠站起来时才诧然发现一位衣衫破旧的妇女挎着一只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃母
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
CBU毕业证【微信95270640】《如何办理不列颠海角大学毕业证认证》【办证Q微信95270640】《不列颠海角大学文凭毕业证制作》《CBU学历学位证书哪里买》办理不列颠海角大学学位证书扫描件、办理不列颠海角大学雅思证书！
国际留学归国服务中心《如何办不列颠海角大学毕业证认证》《CBU学位证书扫描件哪里买》实体公司，注册经营，行业标杆，精益求精！
1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。
可办理以下真实不列颠海角大学存档留学生信息存档认证：
1不列颠海角大学真实留信网认证（网上可查永久存档无风险百分百成功入库）；
2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）；
3购买英美真实学籍（不用正常就读直接出学历）；
4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）
留学本科/硕士毕业证书成绩单制作流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询不列颠海角大学不列颠海角大学本科学位证成绩单）；
2开始安排制作不列颠海角大学毕业证成绩单电子图；
3不列颠海角大学毕业证成绩单电子版做好以后发送给您确认；
4不列颠海角大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5不列颠海角大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — — — — — — — — 《文凭顾问Q/微：95270640》这么大这么美的地方赚大钱高楼大厦鳞次栉比大街小巷人潮涌动山娃一路张望一路惊叹他发现城里的桥居然层层叠叠扭来扭去桥下没水却有着水一般的车水马龙山娃惊诧于城里的公交车那么大那么美不用买票乖乖地掷下二枚硬币空调享受还能坐着看电视呢屡经辗转山娃终于跟着父亲到家了山娃没想到父亲城里的家会如此寒碜更没料到父亲的城里竟有如此简陋的鬼地方父亲的家在高楼最底屋最下面很矮很黑是很不显眼的地下室父亲的家安在别人脚底下孰
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UPenn毕业证【微信95270640】办理宾夕法尼亚大学毕业证原版一模一样、UPenn毕业证制作【Q微信95270640】《宾夕法尼亚大学毕业证购买流程》《UPenn成绩单制作》宾夕法尼亚大学毕业证书UPenn毕业证文凭宾夕法尼亚大学
本科毕业证书,学历学位认证如何办理【留学国外学位学历认证、毕业证、成绩单、大学Offer、雅思托福代考、语言证书、学生卡、高仿教育部认证等一切高仿或者真实可查认证服务】代办国外（海外）英国、加拿大、美国、新西兰、澳大利亚、新西兰等国外各大学毕业证、文凭学历证书、成绩单、学历学位认证真实可查。
办国外宾夕法尼亚大学宾夕法尼亚大学硕士学位证成绩单教育部学历学位认证留信认证大使馆认证留学回国人员证明修改成绩单信封申请学校offer录取通知书在读证明offer letter。
快速办理高仿国外毕业证成绩单：
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2雅思成绩单托福成绩单OFFER在读证明等留学相关材料（申请学校转学甚至是申请工签都可以用到）。
3.毕业证 #成绩单等全套材料从防伪到印刷从水印到钢印烫金高精仿度跟学校原版100%相同。
专业服务请勿犹豫联系我！联系人微信号：95270640诚招代理：本公司诚聘当地代理人员如果你有业余时间有兴趣就请联系我们。
国外宾夕法尼亚大学宾夕法尼亚大学硕士学位证成绩单办理过程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。我们在哪里父母对我们的爱和思念为我们的生命增加了光彩给予我们自由追求的力量生活的力量我们也不忘感恩正因为这股感恩的线牵着我们使我们在一年的结束时刻义无反顾的踏上了回家的旅途人们常说父母恩最难回报愿我能以当年爸爸妈妈对待小时候的我们那样耐心温柔地对待我将渐渐老去的父母体谅他们以反哺之心奉敬父母以感恩之心孝顺父母哪怕只为父母换洗衣服为父母喂饭送汤按摩酸痛的腰背握着父母的手扶着他们一步一步地慢慢散步.娃
一比一原版(TWU毕业证)西三一大学毕业证成绩单
TWU毕业证【微信95270640】西三一大学没毕业>办理西三一大学毕业证成绩单【微信TWU】TWU毕业证成绩单TWU学历证书TWU文凭《TWU毕业套号文凭网认证西三一大学毕业证成绩单》《哪里买西三一大学毕业证文凭TWU成绩学校快递邮寄信封》《开版西三一大学文凭》TWU留信认证本科硕士学历认证
[留学文凭学历认证(留信认证使馆认证)西三一大学毕业证成绩单毕业证证书大学Offer请假条成绩单语言证书国际回国人员证明高仿教育部认证申请学校等一切高仿或者真实可查认证服务。
多年留学服务公司,拥有海外样板无数能完美1:1还原海外各国大学degreeDiplomaTranscripts等毕业材料。海外大学毕业材料都有哪些工艺呢？工艺难度主要由：烫金.钢印.底纹.水印.防伪光标.热敏防伪等等组成。而且我们每天都在更新海外文凭的样板以求所有同学都能享受到完美的品质服务。
国外毕业证学位证成绩单办理方法：
1客户提供办理西三一大学西三一大学本科学位证成绩单信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — 我们是挂科和未毕业同学们的福音我们是实体公司精益求精的工艺！ — — — -
一真实留信认证的作用(私企外企荣誉的见证):
1：该专业认证可证明留学生真实留学身份同时对留学生所学专业等级给予评定。
2：国家专业人才认证中心颁发入库证书这个入网证书并且可以归档到地方。
3：凡是获得留信网入网的信息将会逐步更新到个人身份内将在公安部网内查询个人身份证信息后同步读取人才网入库信息。
4：个人职称评审加20分个人信誉贷款加10分。
5：在国家人才网主办的全国网络招聘大会中纳入资料供国家500强等高端企业选择人才。广州火车东站的那一刻山娃感受到了一种从未有过的激动和震撼太美了可爱的广州父亲的城山娃惊喜得几乎叫出声来山娃觉得父亲太伟大了居然能单匹马地跑到这么远这么大这么美的地方赚大钱高楼大厦鳞次栉比大街小巷人潮涌动山娃一路张望一路惊叹他发现城里的桥居然层层叠叠扭来扭去桥下没水却有着水一般的车水马龙山娃惊诧于城里的公交车那么大那么美不用买票乖乖地掷下二枚硬币空调享受还能坐着看电视呢屡经辗转山娃终于跟着父亲到拉
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一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
CBU毕业证【微信95270640】☀《卡普顿大学毕业证购买》GoogleQ微信95270640《CBU毕业证模板办理》加拿大文凭、本科、硕士、研究生学历都可以做,二、业务范围：
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专业为留学生办理卡普顿大学卡普顿大学本科毕业证成绩单【100%存档可查】留学全套申请材料办理。本公司承诺所有毕业证成绩单成品全部按照学校原版工艺对照一比一制作和学校一样的羊皮纸张保证您证书的质量！
如果你回国在学历认证方面有以下难题请联系我们我们将竭诚为你解决认证瓶颈
1所有材料真实但资料不全无法提供完全齐整的原件。【如：成绩单丶毕业证丶回国证明等材料中有遗失的。】
2获得真实的国外最终学历学位但国外本科学历就读经历存在问题或缺陷。【如：国外本科是教育部不承认的或者是联合办学项目教育部没有备案的或者外本科没有正常毕业的。】
3学分转移联合办学等情况复杂不知道怎么整理材料的。时间紧迫自己不清楚递交流程的。
如果你是以上情况之一请联系我们我们将在第一时间内给你免费咨询相关信息。我们将帮助你整理认证所需的各种材料.帮你解决国外学历认证难题。
国外卡普顿大学卡普顿大学本科毕业证成绩单办理方法：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询卡普顿大学卡普顿大学本科毕业证成绩单）；
2开始安排制作卡普顿大学毕业证成绩单电子图；
3卡普顿大学毕业证成绩单电子版做好以后发送给您确认；
4卡普顿大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5卡普顿大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。父亲太伟大了居然能单匹马地跑到这么远这么大这么美的地方赚大钱高楼大厦鳞次栉比大街小巷人潮涌动山娃一路张望一路惊叹他发现城里的桥居然层层叠叠扭来扭去桥下没水却有着水一般的车水马龙山娃惊诧于城里的公交车那么大那么美不用买票乖乖地掷下二枚硬币空调享受还能坐着看电视呢屡经辗转山娃终于跟着父亲到家了山娃没想到父亲城里的家会如此寒碜更没料到父亲的城里竟有如此简陋的鬼地方父亲的家在高楼最底屋最下面很矮很黑是子
一比一原版(IIT毕业证)伊利诺伊理工大学毕业证成绩单
IIT毕业证【微信95270640】购买（伊利诺伊理工大学毕业证成绩单硕士学历）Q微信95270640代办IIT学历认证留信网伪造伊利诺伊理工大学学位证书精仿伊利诺伊理工大学本科/硕士文凭证书补办伊利诺伊理工大学 diplomaoffer,Transcript购买伊利诺伊理工大学毕业证成绩单购买IIT假毕业证学位证书购买伪造伊利诺伊理工大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
#一整套伊利诺伊理工大学文凭证件办理#—包含伊利诺伊理工大学伊利诺伊理工大学毕业证假文凭学历认证|使馆认证|归国人员证明|教育部认证|留信网认证永远存档教育部学历学位认证查询办理国外文凭国外学历学位认证#我们提供全套办理服务。
一整套留学文凭证件服务：
一：伊利诺伊理工大学伊利诺伊理工大学毕业证假文凭毕业证 #成绩单等全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站永久可查
四：留信认证留学生信息网站永久可查
国外毕业证学位证成绩单办理方法：
1客户提供办理伊利诺伊理工大学伊利诺伊理工大学毕业证假文凭信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
教育部文凭学历认证认证的用途：
如果您计划在国内发展那么办理国内教育部认证是必不可少的。事业性用人单位如银行国企公务员在您应聘时都会需要您提供这个认证。其他私营 #外企企业无需提供！办理教育部认证所需资料众多且烦琐所有材料您都必须提供原件我们凭借丰富的经验帮您快速整合材料让您少走弯路。
实体公司专业为您服务如有需要请联系我: 微信95270640声和哐咣的关门声待山娃醒来时父亲早已上班去了床头总搁着山娃最爱吃的馒头和肉包还有白花花的豆浆父亲中午留在工地吃饭和午休山娃的中饭是对面快餐店送来的不用山娃付钱父亲早跟老板谈妥了钱到时一起结父亲给山娃配了台手机二手货诺基亚的父亲说有什么事只管给他挂电话能拥有自己的手机山娃很高兴除了玩游戏发短信除了挂电话给爷爷奶奶和母亲山娃还给班主任邱老师连挂了二个电话并给同学阿强和阿昌家挂山娃兴奋地向他们诉说城市一
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Key things you need to know on consumer confidence, key behavioral, tech, e-wallet & esports trends in Malaysia.
一比一原版(YU毕业证)约克大学毕业证成绩单
YU毕业证【微信95270640】（约克大学毕业证高仿学位证书((+《Q微信95270640》))）购买YU毕业证修改YU成绩单购买约克大学毕业证办YU文凭办高仿毕业证约克大学毕业证购买修改成绩单挂科退学如何进行学历认证留学退学办毕业证书/ 出国留学无法毕业买毕业证留学被劝退买毕业证（非正常毕业教育部认证咨询） York University
办理国外约克大学毕业证书 #成绩单改成绩 #教育部学历学位认证 #毕业证认证 #留服认证 #使馆认证（留学回国人员证明） #（证）等
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约克大学约克大学毕业证学历书毕业证 #成绩单等全套材料从防伪到印刷从水印到钢印烫金跟学校原版100%相同.
国际留学归国服务中心：实体公司注册经营行业标杆精益求精！
国外毕业证学位证成绩单办理流程：
1客户提供办理约克大学约克大学毕业证学历书信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作约克大学毕业证成绩单电子图；
3约克大学毕业证成绩单电子版做好以后发送给您确认；
4约克大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5约克大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快递邮寄约克大学约克大学毕业证学历书）。心温柔地对待我将渐渐老去的父母体谅他们以反哺之心奉敬父母以感恩之心孝顺父母哪怕只为父母换洗衣服为父母喂饭送汤按摩酸痛的腰背握着父母的手扶着他们一步一步地慢慢散步.让我们的父母幸福快乐地度过一生挽着清风芒耀似金的骄阳如将之绽放的花蕾一般静静的从远方的山峦间缓缓升起这一片寂静的城市默默的等待着它的第一缕光芒将之唤醒那飘散在它前方的几层薄云像是新娘的婚纱一般为它的光芒添上了几分淡淡的浮晕在悄无声息间这怕
Empowering Data Analytics Ecosystem.pptx
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
一比一原版(QU毕业证)皇后大学毕业证成绩单
QU毕业证【微信95270640】办理皇后大学毕业证原版一模一样、QU毕业证制作【Q微信95270640】《皇后大学毕业证购买流程》《QU成绩单制作》皇后大学毕业证书QU毕业证文凭皇后大学
本科毕业证书,学历学位认证如何办理【留学国外学位学历认证、毕业证、成绩单、大学Offer、雅思托福代考、语言证书、学生卡、高仿教育部认证等一切高仿或者真实可查认证服务】代办国外（海外）英国、加拿大、美国、新西兰、澳大利亚、新西兰等国外各大学毕业证、文凭学历证书、成绩单、学历学位认证真实可查。
1:1完美还原海外各大学毕业材料上的工艺：水印阴影底纹钢印LOGO烫金烫银LOGO烫金烫银复合重叠。文字图案浮雕激光镭射紫外荧光温感复印防伪。
可办理以下真实皇后大学存档留学生信息存档认证：
1皇后大学真实留信网认证（网上可查永久存档无风险百分百成功入库）；
2真实教育部认证（留服）等一切高仿或者真实可查认证服务（暂时不可办理）；
3购买英美真实学籍（不用正常就读直接出学历）；
4英美一年硕士保毕业证项目（保录取学校挂名不用正常就读保毕业）
留学本科/硕士毕业证书成绩单制作流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询皇后大学皇后大学硕士毕业证成绩单）；
2开始安排制作皇后大学毕业证成绩单电子图；
3皇后大学毕业证成绩单电子版做好以后发送给您确认；
4皇后大学毕业证成绩单电子版您确认信息无误之后安排制作成品；
5皇后大学成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — — — — — — — — — — 《文凭顾问Q/微：95270640》很感动很无奈房东的儿子小伍笨手笨脚的不会说普通话满口粤语态度十分傲慢一副盛气凌人的样子山娃试图接近他跟他交友与城里人交友但他俩就好像是两个世界里的人根本拢不到一块儿不知不觉山娃倒跟周围出租屋里的几个小伙伴成了好朋友因为他们也是从乡下进城过暑假的小学生快乐的日子总是过得飞快山娃尚未完全认清那几位小朋友时他们却一个接一个地回家了山娃这时才恍然发现二个月的暑假已转到了尽头他的城市生活也将划上一个不很圆义
Opendatabay - Open Data Marketplace.pptx
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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Multi-Cloud Data Integration with Data Virtualization (APAC)
- 1. DATA VIRTUALIZATION APAC WEBINAR SERIES Sessions Covering Key Data Integration Challenges Solved with Data Virtualization
- 2. Multi-Cloud Integration with Data Virtualization Katrina Briedis APAC Sales Engineering, Denodo Sushant Kumar Product Marketing Manager, Denodo
- 3. Agenda 1. Challenges of Modern Data Management 2. Multi-Cloud Challenges 3. Denodo’s Multi-Location Architecture 4. Product Demo 5. Q&A 6. Next Steps
- 4. 4 Required expansion of Analytics by growing consumers of data Need for Agile Self-Service BI Big Data volumes continue to grow Security and Data Privacy implications becoming core to data strategy Reduce or eliminate Data Latency Providing data access irrespective of Storage Location Increasing use of third-party data for Information Agility Growth in Hybrid & Multi–Cloud Deployments Convergence of Application and Data Integration Challenges of Modern Data Management
- 5. 5 Modern Data Architecture Data Virtualization
- 7. 7 IDC FutureScape: Worldwide Cloud 2018 Predictions By 2020, over 90% of enterprises will use Multiple Cloud Services and Platforms.
- 8. 8 • Flexibility • Cost optimization • Avoid vendor lock-in • Regulatory compliance • Geographical flexibility Benefits of Multi-Cloud Strategy
- 9. 9 Challenges of Multi-Cloud Strategy • Complexity • Duplication • Increased costs • Multiple security models • Skill sets required • Integration
- 10. 10 Multi-Location Architecture • Denodo instances connected to each other • Moving processing to data location • Security and control localized • Different countries, jurisdictions, etc. • Global access without replicating data • Denodo instances connected • Denodo Solution Manager automates sharing of metadata
- 11. 11 Delegating queries to instances in remote locations: Asia Data Center (Hong Kong) North America Data Center (New York) Local Sources Multi-Location Architecture – Example
- 12. 12 Multi-Location Architecture – Example Asia Data Center (Hong Kong) North America Data Center (New York) Local Sources Client Delegating queries to instances in remote locations:
- 13. 13 Multi-Cloud Integration with Data Virtualization Amazon RDS, AuroraUS East AvailabilityZone EMEA Availability ZoneOn-prem data center
- 14. 14 Multi-Cloud Integration with Data Virtualization
- 15. 15 “Adopt the Logical Data Warehouse Architecture to Meet Your Modern Analytical Needs”. Henry Cook, Gartner April 2018 DATA VIRTUALIZATION On-prem data center
- 16. Product Demonstration APAC Sales Engineering, Denodo Katrina Briedis
- 17. 17 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)
- 18. 18 Tim Mary Jane Corporate HQ DATA VIRTUALIZATION Multi-Location Data Access
- 19. South - Oracle North - SnowflakeDifferences in tables Different Table Names Different Field Names Different values / reference
- 20. North - SnowflakeSouth - Oracle Standarardised views Same Naming Convention Same Field Names Standardised Values
- 22. Q&A
- 23. Next Steps
- 25. Next session Bridging the Last Mile: Getting Data to the People Who Need It Chris Day Director, APAC Sales Engineering, Denodo Sushant Kumar Product Marketing Manager, Denodo
- 26. Thanks! www.denodo.com info@denodo.com © Copyright Denodo Technologies. All rights reserved Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm, without prior the written authorization from Denodo Technologies.