Watch full webinar here: https://bit.ly/3xWXuSN
Malgré le besoin croissant d'agilité, les entreprises restent réticientes à héberger leur données sensibles dans le Cloud pour des raisons de sécurité. Par ailleurs, le chiffrement basique ne suffit plus, car masquer la donnée ou la fournir de façon partielle empêche son utilisation.
La cryptographie avancée associée à la Logical Data Fabric constitue un duo gagnant pour intensifier l’utilisation de ces données sensibles dans le Cloud tout en garantissant le maximum de sécurité et de confidentialité. D’une part, la Logical Data Fabric permet aux organisations ayant un écosystème hybride d’accéder à l’ensemble de leur patrimoine data en temps réel tout en étalissant des politiques de sécurité, alors que la cryptographie avancée permet de stocker les données chiffrées dans le cloud, même pendant son utilisation, tout en y incluant des droits d’accès.
Rejoignez ce webinar pour découvrir :
- Les enjeux d’accès et de partage des données dans les environnements hybrides et multiclouds.
- Comment la Logical Data Fabric de Denodo simplifie l’adoption du Cloud grâce à un point unique d’accès à la donnée tout en fournissant une couche de sécurité et de gouvernance.
- Comment les fonctionnalités avancées de la cryptographie de Cosmian se différencient des approches traditionnelles de chiffrement.
- Une démo live sur comment la cryptographie applicative permet de créer des politiques de sécurité et d’accès aux données dans des environnements zéro trust.
Webinar | Aligning GDPR Requirements with Today's Hybrid Cloud RealitiesDataStax
The European Union’s General Data Protection Regulation (GDPR) has sweeping effects on how enterprises manage their data. Without the right policies and safeguards in place, a tiny data mishap could end up turning into a catastrophic mistake. Join Datastax and our partner Thales eSecurity for a live webinar to learn how GDPR effects impact data management and the various ways enterprises can both comply and thrive in a hybrid cloud environment.
View recording: https://youtu.be/QZ48_qkK9PU
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Cloud Migration headache? Ease the pain with Data Virtualization! (EMEA)Denodo
Watch full webinar here: https://bit.ly/3CWIBzd
Moving data to the Cloud is a priority for many organizations. Benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. This journey to the Cloud is not easy: moving application(s) and data to the Cloud can be challenging and entails disruption of business, when not carefully managed.
When systems are being migrated, the resultant hybrid (or even multi-) Cloud architecture is, by definition, more complex AND making it harder/more costly to retrieve the data we need.
Data Virtualization can help organizations at all stages of a Cloud journey - during migration as well as in our “new hybrid multi-Cloud reality”
Watch on-demand 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 secure layer to protect and manage data when it's distributed across hybrid or multi-Cloud architectures
… watch a live demo about how to ease the migration.
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...Denodo
Watch full webinar here: https://bit.ly/2KkJ08B
Financial institutions need to implement new strategies and services that will drive them securely to their digital objectives over their entire infrastructure.
- How to securely move legacy systems and data to new technologies such as the Big Data and Cloud?
- How to break down silos and ensure a global, centralized, secure and agile access to meaningful data?
- How to facilitate data sharing while applying strict and coherent governance and security rules?
- How to avoid downtime and to guarantee the success of IT initiaves while optimizing costs and resources?
- How to produce and to maintain efficient reports and financial aggregations for the holdings and CxO managers?
We are pleased to invite you to this online session to discover how data virtualization can answer these questions and contribute to the digital transformation of financial institutions.
WHAT IS IT ABOUT?
This virtual event will be organized in two parts. First, we will conduct a conference focusing on the impact of digital transformation in the financial sector, in addition to the general concepts of Data Virtualization and how it has supported the new business goals of financial companies in terms of IT modernization, risk management, governance and security. Then, we will conduct will conduct a hands-on session with a guided live demo to help you discover the main features and benefits of Denodo Platform for Data Virtualization.
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.
Simplifying Data Governance and Security with a Logical Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/38UlhbN
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.
Data Virtualization allows the creation of a logical data fabric layer that not only increases the agility of data provisioning but offers a simple, fast and cost-effective way to secure and governance all your data.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model
- Centralize security when data is spread across multiple systems residing both on-premises and in the cloud
- Control and audit data access across different regions
Secure Your Data with Virtual Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3kT6HEN
Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas.
Data Virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources. As a single point of data access for applications, it is the ideal place to enforce access security restrictions that can be defined in terms of the canonical model with a very fine granularity.
Denodo has been successfully deployed in many organizations worldwide with strict security requirements. Those organizations benefit from Denodo's capabilities to customize security policies in the data abstraction layer, centralize security when data is spread across multiple systems residing both on-premises and in the cloud, or control and audit data access across different regions.
Watch this on-demand session to:
- Build enterprise-wide data access role model
- Apply Dynamic Masking on your data on the fly
- Use sophisticated masking algorithms to manage your non-production data sets
Fueling AI & Machine Learning: Legacy Data as a Competitive AdvantagePrecisely
The data fueling your AI or machine learning initiatives plays a critical role. Different data sources provide different outcomes. The most important thing a business can do to prepare for success with AI and machine learning is to understand and provide access to all of the data that you can possibly get to. In addition to newer data sources, like IoT and Social Media, what will set your results apart – and give your business a competitive advantage – is powering AI and machine learning with your historical and proprietary data: the data sitting in your mainframe, legacy, and other traditional systems.
View this on-demand webcast with Wikibon Analyst James Kobielus as we discuss:
• Using your historical customer data to train predictive AI/ML models for effective target marketing
• Leveraging social, mobile, and IoT data to give your marketing an extra level of personalization
• Making the most of your legacy and proprietary data while protecting customer privacy and ensuring regulatory compliance
Logical Data Fabric and Industry-Focused Solutions by IQZ SystemsDenodo
Watch full webinar here: https://bit.ly/3egOGfr
Logical data fabric, the theme of DataFest 2021, is an exciting new development in data architecture and management, and it is already delivering dramatic benefits in terms of business acceleration and agility. But how did logical data fabric come about, and how can logical data fabric be used to build industry-focused solutions?
In this presentation, Sathish TK, CTO at IQZ Systems, a global technology solutions company, will provide an introduction to logical data fabric, and then discuss specific IQZ solutions for financial services and insurance that are based on logical data fabric.
You will learn:
- What percentage of the available data is actually used for analysis, on average, using traditional data integration strategies
- The benefits of logical data fabric
- The main deployment options for logical data fabric
- How one IQZ financial services customer established golden records for complex data entities by leveraging logical data fabric
- How IQZ leveraged logical data fabric to create a life policy status tracker application
Webinar | Aligning GDPR Requirements with Today's Hybrid Cloud RealitiesDataStax
The European Union’s General Data Protection Regulation (GDPR) has sweeping effects on how enterprises manage their data. Without the right policies and safeguards in place, a tiny data mishap could end up turning into a catastrophic mistake. Join Datastax and our partner Thales eSecurity for a live webinar to learn how GDPR effects impact data management and the various ways enterprises can both comply and thrive in a hybrid cloud environment.
View recording: https://youtu.be/QZ48_qkK9PU
Explore all DataStax webinars: https://www.datastax.com/resources/webinars
Cloud Migration headache? Ease the pain with Data Virtualization! (EMEA)Denodo
Watch full webinar here: https://bit.ly/3CWIBzd
Moving data to the Cloud is a priority for many organizations. Benefits - in terms of flexibility, agility, and cost savings - are driving Cloud adoption. This journey to the Cloud is not easy: moving application(s) and data to the Cloud can be challenging and entails disruption of business, when not carefully managed.
When systems are being migrated, the resultant hybrid (or even multi-) Cloud architecture is, by definition, more complex AND making it harder/more costly to retrieve the data we need.
Data Virtualization can help organizations at all stages of a Cloud journey - during migration as well as in our “new hybrid multi-Cloud reality”
Watch on-demand 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 secure layer to protect and manage data when it's distributed across hybrid or multi-Cloud architectures
… watch a live demo about how to ease the migration.
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...Denodo
Watch full webinar here: https://bit.ly/2KkJ08B
Financial institutions need to implement new strategies and services that will drive them securely to their digital objectives over their entire infrastructure.
- How to securely move legacy systems and data to new technologies such as the Big Data and Cloud?
- How to break down silos and ensure a global, centralized, secure and agile access to meaningful data?
- How to facilitate data sharing while applying strict and coherent governance and security rules?
- How to avoid downtime and to guarantee the success of IT initiaves while optimizing costs and resources?
- How to produce and to maintain efficient reports and financial aggregations for the holdings and CxO managers?
We are pleased to invite you to this online session to discover how data virtualization can answer these questions and contribute to the digital transformation of financial institutions.
WHAT IS IT ABOUT?
This virtual event will be organized in two parts. First, we will conduct a conference focusing on the impact of digital transformation in the financial sector, in addition to the general concepts of Data Virtualization and how it has supported the new business goals of financial companies in terms of IT modernization, risk management, governance and security. Then, we will conduct will conduct a hands-on session with a guided live demo to help you discover the main features and benefits of Denodo Platform for Data Virtualization.
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.
Simplifying Data Governance and Security with a Logical Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/38UlhbN
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.
Data Virtualization allows the creation of a logical data fabric layer that not only increases the agility of data provisioning but offers a simple, fast and cost-effective way to secure and governance all your data.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model
- Centralize security when data is spread across multiple systems residing both on-premises and in the cloud
- Control and audit data access across different regions
Secure Your Data with Virtual Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3kT6HEN
Security, data privacy, and data protection represent concerns for organizations that must comply with policies and regulations that can vary across regions, data assets, and personas.
Data Virtualization offers a single logical point of access, avoiding point-to-point connections from consuming applications to the information sources. As a single point of data access for applications, it is the ideal place to enforce access security restrictions that can be defined in terms of the canonical model with a very fine granularity.
Denodo has been successfully deployed in many organizations worldwide with strict security requirements. Those organizations benefit from Denodo's capabilities to customize security policies in the data abstraction layer, centralize security when data is spread across multiple systems residing both on-premises and in the cloud, or control and audit data access across different regions.
Watch this on-demand session to:
- Build enterprise-wide data access role model
- Apply Dynamic Masking on your data on the fly
- Use sophisticated masking algorithms to manage your non-production data sets
Fueling AI & Machine Learning: Legacy Data as a Competitive AdvantagePrecisely
The data fueling your AI or machine learning initiatives plays a critical role. Different data sources provide different outcomes. The most important thing a business can do to prepare for success with AI and machine learning is to understand and provide access to all of the data that you can possibly get to. In addition to newer data sources, like IoT and Social Media, what will set your results apart – and give your business a competitive advantage – is powering AI and machine learning with your historical and proprietary data: the data sitting in your mainframe, legacy, and other traditional systems.
View this on-demand webcast with Wikibon Analyst James Kobielus as we discuss:
• Using your historical customer data to train predictive AI/ML models for effective target marketing
• Leveraging social, mobile, and IoT data to give your marketing an extra level of personalization
• Making the most of your legacy and proprietary data while protecting customer privacy and ensuring regulatory compliance
Logical Data Fabric and Industry-Focused Solutions by IQZ SystemsDenodo
Watch full webinar here: https://bit.ly/3egOGfr
Logical data fabric, the theme of DataFest 2021, is an exciting new development in data architecture and management, and it is already delivering dramatic benefits in terms of business acceleration and agility. But how did logical data fabric come about, and how can logical data fabric be used to build industry-focused solutions?
In this presentation, Sathish TK, CTO at IQZ Systems, a global technology solutions company, will provide an introduction to logical data fabric, and then discuss specific IQZ solutions for financial services and insurance that are based on logical data fabric.
You will learn:
- What percentage of the available data is actually used for analysis, on average, using traditional data integration strategies
- The benefits of logical data fabric
- The main deployment options for logical data fabric
- How one IQZ financial services customer established golden records for complex data entities by leveraging logical data fabric
- How IQZ leveraged logical data fabric to create a life policy status tracker application
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
The Pandemic Changes Everything, the Need for Speed and ResiliencyAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
The Pandemic Changes Everything, the Need for Speed and Resiliency
Parviz Peiravi, Global CTO of Financial Services Solutions, Intel
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
MasterClass Series: Unlocking Data Sharing Velocity with Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/49FKgdM
Join us for an exciting webinar that delves into the world of data sharing and its pivotal role in accelerating data-driven decisions. In an era where every second counts, we’ll showcase how data virtualization acts as the indispensable bridge between disparate data sources and swift consumption.
During this webinar, you’ll see:
- The Great Data Race: Imagine a scenario where time is of the essence, and two data experts compete head-to-head to connect with as many data sources as possible. Witness the electrifying race as they navigate through a multitude of data repositories, showcasing their prowess in sourcing valuable information.
- Data Fusion in Real-Time: Once the data sources are harnessed, our experts will demonstrate how to seamlessly blend these disparate datasets into a coherent and insightful data product. Witness firsthand the lightning-fast transformation of raw data into a valuable asset that can drive informed decisions.
- Unleashing Data Across Ecosystems: In today's interconnected world, the real power of data lies in its versatility. Our experts will illustrate how a well-structured data product can be quickly integrated into numerous consuming applications. Discover the sheer speed at which data can be disseminated across your organization's ecosystem.
- Data Virtualization: The Essential Enabler We will emphasize the crucial role of data virtualization in making this entire process possible. Data virtualization acts as the linchpin, seamlessly connecting various data sources, transforming them into a cohesive unit, and facilitating rapid distribution to consuming applications. Learn how it empowers organizations to harness data at the speed of thought.
Don’t miss this unique webinar as we break down the barriers to data sharing and empower you to unlock the true potential of your data. Register now and embark on a journey towards data-driven excellence.
EMEA10: Trepidation in Moving to the CloudCompTIA UK
Today’s buzz centres on cloud computing. What is it exactly? Will it dent your revenues or does it have potential to add capabilities to your business? How do you deliver value when you don’t “install” anything? Learn how to use this new approach to delivering IT services in your business, what to consider and where it makes sense – and where it doesn’t! Dave Sobel, CEO of Evolve Technologies, talks to you about how to develop cloud offerings and how you position your business for growth around online services. Strategies come from real life experience, industry data, and collaboration with other solution providers to give you the best way to take on the big, bad cloud.
A Journey to the Cloud with Data VirtualizationDenodo
Watch this Fast Data Strategy Virtual Summit with speakers Cijo Thomas Isaac, Big Data Architect, Asurion & Nick Sarkisian, Associate Vice President - North America Analytics Head, HCL here: https://buff.ly/2KwLvj3
While Asurion expanded its operations globally, their global client base expected highest quality customer service, something Asurion prides itself with. At the same time Asurions brand new digital home premium support required strong predictive analytics, IoT and big data architecture support to provide their customers with the best user experience.
Attend this session to learn:
• How Asurion built its hybrid cloud environment using data virtualization
• Why centralizing security and data governance is key to their data architecture
• Why data virtualization is important for their advanced analytics and data science
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
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
A robust and verifiable threshold multi authority access control system in pu...IJARIIT
Attribute-based Encryption is observed as a promising cryptographic leading tool to assurance data owners’ direct
regulator over their data in public cloud storage. The former ABE schemes include only one authority to maintain the whole
attribute set, which can carry a single-point bottleneck on both security and performance. Then, certain multi-authority
schemes are planned, in which numerous authorities distinctly maintain split attribute subsets. However, the single-point
bottleneck problem remains unsolved. In this survey paper, from another perspective, we conduct a threshold multi-authority
CP-ABE access control scheme for public cloud storage, named TMACS, in which multiple authorities jointly manage a
uniform attribute set. In TMACS, taking advantage of (t, n) threshold secret allocation, the master key can be shared among
multiple authorities, and a lawful user can generate his/her secret key by interacting with any t authorities. Security and
performance analysis results show that TMACS is not only verifiable secure when less than t authorities are compromised, but
also robust when no less than t authorities are alive in the system. Also, by efficiently combining the traditional multi-authority
scheme with TMACS, we construct a hybrid one, which satisfies the scenario of attributes coming from different authorities as
well as achieving security and system-level robustness.
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)Denodo
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.
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.
Cloud and Virtualization gives you agility and efficiency to instantly roll out new services and expand your infrastructure. But the lack of physical control, or defined entrance and egress points, bring a whole host of cloud security issues – data co-mingling, privileged user abuse, snapshots and backups, data deletion, data leakage, geographic regulatory requirements, cloud super-admins, and many more. Fortunately, experts agree that encryption is the unifying cloud security control, allowing you protect, control and maintain the trust. Gemalto’s proven encryption and enterprise key management solutions turn any cloud environment into a trusted and compliant environment by solving the critical challenges of data governance, control, and ownership - no matter where you store your data.
Andrew Watts-Curnow, Solutions Architect, Amazon Web Services, ASEAN
Sheung Chi Ng, Senior Security Consulting Manager, Identity and Data Protection (IDP), APAC, Gemalto (Formerly SafeNet)
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.
Introduction to Modern Data Virtualization (US)Denodo
Watch full webinar here: https://bit.ly/3uyvxN5
“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
- How to easily get started with Denodo Standard 8.0
Watch full webinar here: https://bit.ly/3puUCIc
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit?
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
Delivering Data Democratization in the Cloud with SnowflakeKent Graziano
This is a brief introduction to Snowflake Cloud Data Platform and our revolutionary architecture. It contains a discussion of some of our unique features along with some real world metrics from our global customer base.
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.
More Related Content
Similar to Cryptographie avancée et Logical Data Fabric : Accélérez le partage et la migration vers le Cloud de vos données sensibles
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
The Pandemic Changes Everything, the Need for Speed and ResiliencyAlluxio, Inc.
Data Orchestration Summit 2020 organized by Alluxio
https://www.alluxio.io/data-orchestration-summit-2020/
The Pandemic Changes Everything, the Need for Speed and Resiliency
Parviz Peiravi, Global CTO of Financial Services Solutions, Intel
About Alluxio: alluxio.io
Engage with the open source community on slack: alluxio.io/slack
MasterClass Series: Unlocking Data Sharing Velocity with Data VirtualizationDenodo
Watch full webinar here: https://buff.ly/49FKgdM
Join us for an exciting webinar that delves into the world of data sharing and its pivotal role in accelerating data-driven decisions. In an era where every second counts, we’ll showcase how data virtualization acts as the indispensable bridge between disparate data sources and swift consumption.
During this webinar, you’ll see:
- The Great Data Race: Imagine a scenario where time is of the essence, and two data experts compete head-to-head to connect with as many data sources as possible. Witness the electrifying race as they navigate through a multitude of data repositories, showcasing their prowess in sourcing valuable information.
- Data Fusion in Real-Time: Once the data sources are harnessed, our experts will demonstrate how to seamlessly blend these disparate datasets into a coherent and insightful data product. Witness firsthand the lightning-fast transformation of raw data into a valuable asset that can drive informed decisions.
- Unleashing Data Across Ecosystems: In today's interconnected world, the real power of data lies in its versatility. Our experts will illustrate how a well-structured data product can be quickly integrated into numerous consuming applications. Discover the sheer speed at which data can be disseminated across your organization's ecosystem.
- Data Virtualization: The Essential Enabler We will emphasize the crucial role of data virtualization in making this entire process possible. Data virtualization acts as the linchpin, seamlessly connecting various data sources, transforming them into a cohesive unit, and facilitating rapid distribution to consuming applications. Learn how it empowers organizations to harness data at the speed of thought.
Don’t miss this unique webinar as we break down the barriers to data sharing and empower you to unlock the true potential of your data. Register now and embark on a journey towards data-driven excellence.
EMEA10: Trepidation in Moving to the CloudCompTIA UK
Today’s buzz centres on cloud computing. What is it exactly? Will it dent your revenues or does it have potential to add capabilities to your business? How do you deliver value when you don’t “install” anything? Learn how to use this new approach to delivering IT services in your business, what to consider and where it makes sense – and where it doesn’t! Dave Sobel, CEO of Evolve Technologies, talks to you about how to develop cloud offerings and how you position your business for growth around online services. Strategies come from real life experience, industry data, and collaboration with other solution providers to give you the best way to take on the big, bad cloud.
A Journey to the Cloud with Data VirtualizationDenodo
Watch this Fast Data Strategy Virtual Summit with speakers Cijo Thomas Isaac, Big Data Architect, Asurion & Nick Sarkisian, Associate Vice President - North America Analytics Head, HCL here: https://buff.ly/2KwLvj3
While Asurion expanded its operations globally, their global client base expected highest quality customer service, something Asurion prides itself with. At the same time Asurions brand new digital home premium support required strong predictive analytics, IoT and big data architecture support to provide their customers with the best user experience.
Attend this session to learn:
• How Asurion built its hybrid cloud environment using data virtualization
• Why centralizing security and data governance is key to their data architecture
• Why data virtualization is important for their advanced analytics and data science
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
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
A robust and verifiable threshold multi authority access control system in pu...IJARIIT
Attribute-based Encryption is observed as a promising cryptographic leading tool to assurance data owners’ direct
regulator over their data in public cloud storage. The former ABE schemes include only one authority to maintain the whole
attribute set, which can carry a single-point bottleneck on both security and performance. Then, certain multi-authority
schemes are planned, in which numerous authorities distinctly maintain split attribute subsets. However, the single-point
bottleneck problem remains unsolved. In this survey paper, from another perspective, we conduct a threshold multi-authority
CP-ABE access control scheme for public cloud storage, named TMACS, in which multiple authorities jointly manage a
uniform attribute set. In TMACS, taking advantage of (t, n) threshold secret allocation, the master key can be shared among
multiple authorities, and a lawful user can generate his/her secret key by interacting with any t authorities. Security and
performance analysis results show that TMACS is not only verifiable secure when less than t authorities are compromised, but
also robust when no less than t authorities are alive in the system. Also, by efficiently combining the traditional multi-authority
scheme with TMACS, we construct a hybrid one, which satisfies the scenario of attributes coming from different authorities as
well as achieving security and system-level robustness.
Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)Denodo
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.
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.
Cloud and Virtualization gives you agility and efficiency to instantly roll out new services and expand your infrastructure. But the lack of physical control, or defined entrance and egress points, bring a whole host of cloud security issues – data co-mingling, privileged user abuse, snapshots and backups, data deletion, data leakage, geographic regulatory requirements, cloud super-admins, and many more. Fortunately, experts agree that encryption is the unifying cloud security control, allowing you protect, control and maintain the trust. Gemalto’s proven encryption and enterprise key management solutions turn any cloud environment into a trusted and compliant environment by solving the critical challenges of data governance, control, and ownership - no matter where you store your data.
Andrew Watts-Curnow, Solutions Architect, Amazon Web Services, ASEAN
Sheung Chi Ng, Senior Security Consulting Manager, Identity and Data Protection (IDP), APAC, Gemalto (Formerly SafeNet)
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.
Introduction to Modern Data Virtualization (US)Denodo
Watch full webinar here: https://bit.ly/3uyvxN5
“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
- How to easily get started with Denodo Standard 8.0
Watch full webinar here: https://bit.ly/3puUCIc
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit?
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
Delivering Data Democratization in the Cloud with SnowflakeKent Graziano
This is a brief introduction to Snowflake Cloud Data Platform and our revolutionary architecture. It contains a discussion of some of our unique features along with some real world metrics from our global customer base.
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
Opendatabay - Open Data Marketplace.pptxOpendatabay
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.
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).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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/
Cryptographie avancée et Logical Data Fabric : Accélérez le partage et la migration vers le Cloud de vos données sensibles
1. WEBINAR
Cryptographie avancée et
Logical Data Fabric :
Accélérez le partage et la migration vers le
Cloud de vos données sensibles
Bruno Grieder
CTO & Co-founder,
Cosmian
Vincent Fages-Gouyou
Director of Product Management EMEA,
Denodo
2. Agenda
1. Modern Enterprise’s Data Dilemma
2. Architectures & what Cloud strategy?
3. Understanding the Denodo’s Logical Data Fabric
4. Don’t forget Security & Sovereignty
5. Cosmian’s advance cryptographic technology
6. Cosmian’s ABE embedded in Denodo
7. Live demo
4. 4
The Enterprise’s Data Dilemma
Rising Volume of data
▪ 90% of the data have been produced in the past 2 years
▪ 40 zettabytes of Data by end 2020 (5 200GB / person on earth)
▪ Every person will be generating 1.7 MB data / second In 2020
▪ It will take 181 million years for a person to download all those Data
Rising Business challenges with Data
▪ Poor data quality costs business between $9 M to $14 M a year
▪ Bad data is estimated to cost US only $3 trillion a year
▪ 97% of organization are investing in AI & Big Data
▪ 93% have multi-cloud & hybrid strategy
▪ Data Scientists waste 75% looking for Data
Get value out of the data in a agile mode
▪ Embrace predictive and prescriptive analytics
▪ Use all data assets available
▪ Reduce Time to Market (TTM) and Time to Data (TTD)
▪ Empower Self-Service strategies to reduce IT bottlenecks and
shadow IT
Reduces costs while insuring governance & security
▪ Reduce HW and operational cost of data management (e.g. cloud)
▪ Pivot to less costly data management techniques when possible
▪ Prevents data leaks and complies with existing regulations
Rising complexity of data
▪ Eclectic mix of old and new data; every structure imaginable
▪ Generated and integrated, from batch to real time
▪ Traditional data from enterprise apps, web, third-parties
▪ New sources of data from machines, social media, IoT
Rising complexity of data management solutions
▪ Mix of home grown, vendor built, open source
▪ Multi-platform architectures; distributed and heterogeneous;
on premises or cloud; from relational to Hadoop
▪ Hybrid and diverse in the extreme.
Business IT
5. 5
Enterprise’s Data Delivery Architecture
Data Science
Data Quality ML / AI
Locations
Data Sources
OLAP
Visualisation
Denodo Proprietary and Confidential
6. 6
The Dream of Monolithic Data Centralization
▪ Physically centralize all data in a single
location
▪ Examples: Data Warehouse, Data Lake,
Data LakeHouse, Cloud Data
Warehouse
▪ Attractive for its simplicity, it also
comes with many challenges
Denodo Proprietary and Confidential
7. 7
Limits of Monolithic Architectures: Slow and Rigid
▪ Need to ingest all data in a new system
▪ Existing analytics systems cannot be reused
▪ Data is replicated for every different purpose / use case
▪ Changes require modifying pipelines and datasets at multiple stages
Denodo Proprietary and Confidential
8. 8
Cloud Monolithic Data Centralization
Benefits
▪ Brings more flexibility & scalability
▪ Access from anywhere
▪ Lower cost of operations
But
▪ New data silos
▪ Vendor lock-in risk
▪ Data latency
▪ Regulatory compliance & Security concerns
Denodo Proprietary and Confidential
10. 10
§ Complexity
§ Duplication
§ Increased costs
§ Multiple security models
§ Skill sets required
§ Integration
Challenges of Multi-Cloud Strategy: Back to square #1 !
10
11. 12
Enterprise’s Logical Data Fabric
Data Science
Data Quality ML / AI
Locations
Data Sources
OLAP
Visualisation
Governance, Metadata Management, Data Mart
Security
Data Access
Data Virtualization Data Services
Denodo Proprietary and Confidential
12. 13
Denodo’s Logical Data Fabric
§ Based on Data Virtualization technology which abstracts
data consumers from where data is located and how it is
represented in the source systems.
§ It allows building a business semantic layer on top of
multiple distributed data sources of any type without the
requirement of replicating data into a central repository.
§ It enables the implementation of enterprise wide data
sharing and security policies at every levels of integration,
on consumer side, in the semantic layer, at the data source.
§ This semantic layer can be accessed in a secure and
governed manner by consumers using a variety of standard
methods such as SQL, REST, OData, GraphQL or MDX.
§ It’s the foundation for distributed and logical architectures
Denodo Proprietary and Confidential
13. 15
Denodo’s Logical Data Fabric
Federation
Transformation
Abstraction
Data Service Dynamic Query
Optimization
Cost Based
Optimizer
Query
Rewriting
Caching MPP
Security &
Governance
Lifecycle
Management
Data Catalog
Discover
Collaborate
Query
Categorize
Denodo Proprietary and Confidential
14. 16
A Modern Data Virtualization Architecture
DATA CATALOG
Discover - Explore - Document
{ API ACCESS }
RESTful / OData
GraphQL / GeoJSON
SQL
DATA VIRTUALIZATION
CONNECTIVITY
Traditional
DB & DW
150+
data
adapters
Cloud
Stores
Hadoop
& NoSQL
OLAP Files Apps Streaming SaaS
Query
Optimization
Security
AI/ML Governance
Semantic
Layer
DATA OPPS
Deployment
Cloud PaaS
Containers/K8
On-Prem
Monitoring
Scheduling
Version Control
DEVELOPMENT
MODELING
DELIVERY
SOLUTION MANAGER
Real Time
Smart Query
Acceleration
Caching
MPP Engine
MDX Access
Denodo Cubes
CONSUMERS
LOGICAL
DATA
FABRIC
SOURCES
15. 17
Security Architecture
DATA CATALOG
Discover - Explore - Document
{ API ACCESS }
RESTful / OData
GraphQL / GeoJSON
SQL
Traditional
DB & DW
150+
data
adapters
Cloud
Stores
Hadoop
& NoSQL OLAP Files Apps Streaming SaaS
MDX Access
Denodo Cubes
CONSUMERS
LOGICAL
DATA
FABRIC
SOURCES
Schema-wide permission Tag-Based Policy Security
(Including integration with entitlement systems)
LDAP / Active
Directory
External Identity
Providers
Encrypted Data at Rest
Cache / Swap
Authentication
• User/Password and token based
• Kerberos, SAML, OpenID and Oauth (JDBC, ODBC & Web services)
• SSO and two-factor authentication
Data in Motion
• TLS 1.2
• SSL
Data in Motion
• TLS 1.2
• SSL
Authentication
• Pass-Through authentication (user/password,
Kerberos) and service accounts
• Web Service Security: SAML, OAuth, SPNEGO
Role-Based authorization
(guest, employee, corporate)
Data-Specific Permissions
(Row and column level including masking)
Edge Data Ciphering
ABE / KMS
21. 24
REST API / TSL
Cosmian KMS & Edge Embedded ABE Engine
Open Source
Java Client
https://github.com/Cosm
ian/cosmian_java_lib
• Create Policy
• Request Keys
• Encryption
• Descryption
ABE Crypto Engine
Confidential Data
Intelligence Platform
Secure Enclave
KMS K1
K2
N
1
N
1
N
2
REST HTTPS
22. 25
Denodo’s, Role & Tag Base Data Access Protection
API / TSL
Protected Source
Protected Source
N
1
N
2
JDBC
REST/JSON
KMIP / TSL
Finance
HR
K1 K2
Open Source
Java Client Library
ABE Crypto Engine
Confidential Data
Intelligence Platform
Secure Enclave
KMS K1
K2
N
1
N
1
N
2
Attributes
N
2
N
1
Custom Function & Policy
• Get User Key uid
• Build JSON Policy
• Build JSON Access Policy
• Request Master Key
• Request User Key
• Encrypt with Attributes
• Decrypt
23. 26
Denodo’s Tag-based Policies
§ The semantic layers enforces standardized
data models and consistency across domains
§ Centrally enforce semantic, tag-based
security policies
§ Completely abstracted from specific tables
§ Easier to manage and less error prone
§ E.g mask the #SSN with *** for HR and Finance
§ Advanced Cryptographic integration
§ Allows for implementation of semantic
security rules across the data landscape,
independent of technologies underneath
24. 27
JSON Master Policy Definition
ABE Security Policy Definition
Top Secret
High Secret
Medium Secret
Low Secret
R&D HR MKG FIN
Min
Max
Security
Level
hirarchy
Department (no hirarchy)
27. 30
Cipher Data Virtualization
RDMS
SAS
API
Cipher Join
Decrypt Role Based
Views
Interfaces
Remote Tables
Contact
SQL
Cipher Data
Data Materialization
Remote Table
Synchronization
C1ph3r
API
Key UID
Portfolios
User Key
UID Open Source
Java Client Library
ABE Crypto Engine
Confidential Data
Intelligence Platform
Secure Enclave
KMS K1
K2
N
1
N
1
N
2
Attributes
N
2
N
1
Tag-based
Policies engine