Watch full webinar here: https://bit.ly/2ZVbLAY
The Denodo Platform makes all data across the organization available to potentially everyone, internally and externally, in real time. But what does this mean for security?
In fact, the Denodo Platform is built from the ground up to ensure that people can only access the data that they are authorized to see. But this is only the beginning. The Denodo Platform enables organizations to implement highly granular access policies that can be applied to roles, groups, or individual users, and those that can govern data sets, tables, or even individual cells.
In this session, Vincent Fages-Gouyou, EMEA product management director at Denodo, takes you for a deep dive into the robust security capabilities of the Denodo Platform, which includes a short demo of the Denodo Platform in action.
You will learn the ins and outs of:
- The core Denodo security architecture
- Policy-based protocols, which can govern access based on time of day, query threshold, and many other user-defined parameters
- Role-based control, with row- and column-level masking
- Tag-based security policies, enabling the definition of security policies in the semantic layer
- Denodo Platform support for third-party security solutions
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
Modernizing Integration with Data VirtualizationDenodo
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
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
Watch Alberto's session from Fast Data Strategy on-demand here: https://buff.ly/2wByS41
Gartner’s recently published report “Data Catalogs Are the New Black in Data Management Analytics” emphasizes the importance of data catalogs.
Watch this session to learn more about:
• The vision behind the Denodo Data Catalog
• How to maximize information value with the Denodo Data Catalog
• Why it is essential to combine data delivery with a data catalog
Lake Database Database Template Map Data in Azure Synapse AnalyticsErwin de Kreuk
Database templates in Synapse Analytics are blueprints which can be used by organizations to plan, architect and design solutions.
How can we use these Database Templates in a day-to-day business, in order to speed up to automate this process?
Map data tool can help us with that
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo
This is the first in a series of five webinars that look 'under the covers' of Denodo's industry leading Data Virtualization Platform. The webinar will provide an overview of the architecture and key modules of the Denodo Platform - subsequent webinars in the series will take a deeper look at some of the key modules and capabilities of the platform, including performance, scalability, security, and so on.
More information and FREE registrations to this webinar: http://goo.gl/fLi2bC
To learn more click to this link: http://go.denodo.com/a2a
Join the conversation at #Architect2Architect
Agenda:
The Denodo Platform
Platform Architecture
Key Modules
Connectors
Data Services and APIs
DataEd Webinar: Reference & Master Data Management - Unlocking Business ValueDATAVERSITY
Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting architecture for processing it. This webinar presents MDM as a strategic approach to improving and formalizing practices around those data items that provide context for many organizational transactions—its master data. Too often, MDM has been implemented technology-first and achieved the same very poor track record (one-third succeeding on-time, within budget, and achieving planned functionality). MDM success depends on a coordinated approach typically involving Data Governance and Data Quality activities.
Learning Objectives:
- Understand foundational reference and MDM concepts based on the Data Management Body of Knowledge (DMBOK)
- Understand why these are an important component of your Data Architecture
- Gain awareness of Reference and MDM Frameworks and building blocks
- Know what MDM guiding principles consist of and best practices
- Know how to utilize reference and MDM in support of business strategy
Data Catalog for Better Data Discovery and GovernanceDenodo
Watch full webinar here: https://buff.ly/2Vq9FR0
Data catalogs are en vogue answering critical data governance questions like “Where all does my data reside?” “What other entities are associated with my data?” “What are the definitions of the data fields?” and “Who accesses the data?” Data catalogs maintain the necessary business metadata to answer these questions and many more. But that’s not enough. For it to be useful, data catalogs need to deliver these answers to the business users right within the applications they use.
In this session, you will learn:
*How data catalogs enable enterprise-wide data governance regimes
*What key capability requirements should you expect in data catalogs
*How data virtualization combines dynamic data catalogs with delivery
Modernizing Integration with Data VirtualizationDenodo
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
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
Watch Alberto's session from Fast Data Strategy on-demand here: https://buff.ly/2wByS41
Gartner’s recently published report “Data Catalogs Are the New Black in Data Management Analytics” emphasizes the importance of data catalogs.
Watch this session to learn more about:
• The vision behind the Denodo Data Catalog
• How to maximize information value with the Denodo Data Catalog
• Why it is essential to combine data delivery with a data catalog
Lake Database Database Template Map Data in Azure Synapse AnalyticsErwin de Kreuk
Database templates in Synapse Analytics are blueprints which can be used by organizations to plan, architect and design solutions.
How can we use these Database Templates in a day-to-day business, in order to speed up to automate this process?
Map data tool can help us with that
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo
This is the first in a series of five webinars that look 'under the covers' of Denodo's industry leading Data Virtualization Platform. The webinar will provide an overview of the architecture and key modules of the Denodo Platform - subsequent webinars in the series will take a deeper look at some of the key modules and capabilities of the platform, including performance, scalability, security, and so on.
More information and FREE registrations to this webinar: http://goo.gl/fLi2bC
To learn more click to this link: http://go.denodo.com/a2a
Join the conversation at #Architect2Architect
Agenda:
The Denodo Platform
Platform Architecture
Key Modules
Connectors
Data Services and APIs
DataEd Webinar: Reference & Master Data Management - Unlocking Business ValueDATAVERSITY
Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting architecture for processing it. This webinar presents MDM as a strategic approach to improving and formalizing practices around those data items that provide context for many organizational transactions—its master data. Too often, MDM has been implemented technology-first and achieved the same very poor track record (one-third succeeding on-time, within budget, and achieving planned functionality). MDM success depends on a coordinated approach typically involving Data Governance and Data Quality activities.
Learning Objectives:
- Understand foundational reference and MDM concepts based on the Data Management Body of Knowledge (DMBOK)
- Understand why these are an important component of your Data Architecture
- Gain awareness of Reference and MDM Frameworks and building blocks
- Know what MDM guiding principles consist of and best practices
- Know how to utilize reference and MDM in support of business strategy
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3rwWhyv
The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.
Organizations leverage data mesh architecture when they experience shortcomings in highly centralized architectures, such as the lack domain-specific expertise in data teams, the inflexibility of centralized data repositories in meeting the specific needs of different departments within large organizations, and the slow nature of centralized data infrastructures in provisioning data and responding to changes.
In this session, Pablo Alvarez, Global Director of Product Management at Denodo, explains how data virtualization is your best bet for implementing an effective data mesh architecture.
You will learn:
- How data mesh architecture not only enables better performance and agility, but also self-service data access
- The requirements for “data products” in the data mesh world, and how data virtualization supports them
- How data virtualization enables domains in a data mesh to be truly autonomous
- Why a data lake is not automatically a data mesh
- How to implement a simple, functional data mesh architecture using data virtualization
Denodo Data Virtualization Platform Architecture: Performance (session 2 from...Denodo
When it comes to optimizing access to your data, there is no 'one size fits all' technique that truly works for all data sources - that's why the Denodo Platform has a whole spectrum of techniques and options in all levels of the stack that are designed to give you the best performance, lowest latency and highest throughput for all of your data. This webinar will provide a deep dive into these optimization techniques and will show them in action with some real world examples.
More information and FREE registrations to this webinar: http://goo.gl/QB48O3
To learn more click to this link: http://go.denodo.com/a2a
Join the conversation at #Architect2Architect
Agenda:
Denodo Platform Performance Overview
Query optimization
Caching
Resource Management
Denodo as the Core Pillar of your API StrategyDenodo
Watch full webinar here: https://buff.ly/2KTz2IB
Most people associate data virtualization with BI and analytics. However, one of the core ideas behind data virtualization is the decoupling of the consumption method from the data model. Why should the need for data requests in JSON over HTTP require extra development? Denodo provides immediate access to its datasets via REST, OData 4, GeoJSON and other protocols, with no coding involved. Easy to scale, cloud friendly and ready to integrate with API management tools, Denodo can be the perfect tool to fulfill your API strategy!
Attend this session to learn:
- What’s the role of Denodo in an API strategy
- Integration between Denodo and other elements of the API stack, like API management tools
- How easy it is to access Denodo as a RESTful endpoint
- Advanced options of Denodo web services: OAuth, OpenAPI, geographical capabilities, etc.
Data-Ed Webinar: Data Quality Success StoriesDATAVERSITY
Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will demonstrate how chronic business challenges can often be attributed to the root problem of poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. Establishing this framework allows organizations to more efficiently identify business and data problems caused by structural issues versus practice-oriented defects; giving them the skillset to prevent these problems from re-occurring.
Learning Objectives:
Understanding foundational data quality concepts based on the DAMA DMBOK
Utilizing data quality engineering in support of business strategy
Case Studies illustrating data quality success
Data quality guiding principles & best practices
Steps for improving data quality at your organization
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
<!-- wp:paragraph -->
<p>Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of a high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality Management effectively in support of business strategy, which in turn allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Learning Objectives:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>Understand foundational Data Quality concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBOK), as well as guiding principles, best practices, and steps for improving Data Quality at your organization</li><li>Recognize how chronic business challenges for organizations are often rooted in poor Data Quality</li><li>Share case studies illustrating the hallmarks and benefits of Data Quality success</li></ul>
<!-- /wp:list -->
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality management effectively in support of business strategy. This, in turn, allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges can often trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from reoccurring.
Learning objectives:
-Help you understand foundational Data Quality concepts for improving Data Quality at your organization
-Demonstrate how chronic business challenges for organizations are often rooted in poor Data Quality
-Share case studies illustrating the hallmarks and benefits of Data Quality success
You Need a Data Catalog. Do You Know Why?Precisely
Data catalog has become a more popular discussion topic within data management and data governance circles. “What is it?” and “Do I need one?” are two common questions; along with “How does a catalog relate to and support the data governance program?”
The data catalog plays a key role in the governance process; How well information can be managed, aligned to business objectives and monetized depends in great part to what you know about your data.
In this webinar you will learn about:
- The role of the data catalog
- What kinds of information should be in your data catalog
- Those catalog items that can be harvested systemically versus those that require stewardship involvement
- The role of the catalog in your data quality program
We hope you’ll join this on-demand webinar and learn how a data catalog should be part of your governance and data quality program!
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricCambridge Semantics
Watch this webinar to learn about the benefits of using semantic and graph database technology to create a Data Catalog of all of an enterprise's data, regardless of source or format, as part of a modern IT or data management stack and an important step toward building an Enterprise Data Fabric.
Enterprise Data Management Framework OverviewJohn Bao Vuu
A solid data management foundation to support big data analytics and more importantly a data-driven culture is necessary for today’s organizations.
A mature Data Management Program can reduce operational costs and enable rapid business growth and development. Data Management program must evolve to monetize data assets, deliver breakthrough innovation and help drive business strategies in new markets.
Security and privacy of cloud data: what you need to know (Interop)Druva
Is your company thinking about the cloud or already in there but learning fast about the many challenges of the security and privacy of cloud data?
Learn more about the landscape of data in the cloud, and the obstacles that every company should consider when it comes to protecting their down.
Cryptographie avancée et Logical Data Fabric : Accélérez le partage et la mig...Denodo
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.
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3rwWhyv
The Data Mesh architectural design was first proposed in 2019 by Zhamak Dehghani, principal technology consultant at Thoughtworks, a technology company that is closely associated with the development of distributed agile methodology. A data mesh is a distributed, de-centralized data infrastructure in which multiple autonomous domains manage and expose their own data, called “data products,” to the rest of the organization.
Organizations leverage data mesh architecture when they experience shortcomings in highly centralized architectures, such as the lack domain-specific expertise in data teams, the inflexibility of centralized data repositories in meeting the specific needs of different departments within large organizations, and the slow nature of centralized data infrastructures in provisioning data and responding to changes.
In this session, Pablo Alvarez, Global Director of Product Management at Denodo, explains how data virtualization is your best bet for implementing an effective data mesh architecture.
You will learn:
- How data mesh architecture not only enables better performance and agility, but also self-service data access
- The requirements for “data products” in the data mesh world, and how data virtualization supports them
- How data virtualization enables domains in a data mesh to be truly autonomous
- Why a data lake is not automatically a data mesh
- How to implement a simple, functional data mesh architecture using data virtualization
Denodo Data Virtualization Platform Architecture: Performance (session 2 from...Denodo
When it comes to optimizing access to your data, there is no 'one size fits all' technique that truly works for all data sources - that's why the Denodo Platform has a whole spectrum of techniques and options in all levels of the stack that are designed to give you the best performance, lowest latency and highest throughput for all of your data. This webinar will provide a deep dive into these optimization techniques and will show them in action with some real world examples.
More information and FREE registrations to this webinar: http://goo.gl/QB48O3
To learn more click to this link: http://go.denodo.com/a2a
Join the conversation at #Architect2Architect
Agenda:
Denodo Platform Performance Overview
Query optimization
Caching
Resource Management
Denodo as the Core Pillar of your API StrategyDenodo
Watch full webinar here: https://buff.ly/2KTz2IB
Most people associate data virtualization with BI and analytics. However, one of the core ideas behind data virtualization is the decoupling of the consumption method from the data model. Why should the need for data requests in JSON over HTTP require extra development? Denodo provides immediate access to its datasets via REST, OData 4, GeoJSON and other protocols, with no coding involved. Easy to scale, cloud friendly and ready to integrate with API management tools, Denodo can be the perfect tool to fulfill your API strategy!
Attend this session to learn:
- What’s the role of Denodo in an API strategy
- Integration between Denodo and other elements of the API stack, like API management tools
- How easy it is to access Denodo as a RESTful endpoint
- Advanced options of Denodo web services: OAuth, OpenAPI, geographical capabilities, etc.
Data-Ed Webinar: Data Quality Success StoriesDATAVERSITY
Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will demonstrate how chronic business challenges can often be attributed to the root problem of poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. Establishing this framework allows organizations to more efficiently identify business and data problems caused by structural issues versus practice-oriented defects; giving them the skillset to prevent these problems from re-occurring.
Learning Objectives:
Understanding foundational data quality concepts based on the DAMA DMBOK
Utilizing data quality engineering in support of business strategy
Case Studies illustrating data quality success
Data quality guiding principles & best practices
Steps for improving data quality at your organization
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
In business, master data management is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.
<!-- wp:paragraph -->
<p>Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of a high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality Management effectively in support of business strategy, which in turn allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>Learning Objectives:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>Understand foundational Data Quality concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBOK), as well as guiding principles, best practices, and steps for improving Data Quality at your organization</li><li>Recognize how chronic business challenges for organizations are often rooted in poor Data Quality</li><li>Share case studies illustrating the hallmarks and benefits of Data Quality success</li></ul>
<!-- /wp:list -->
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality management effectively in support of business strategy. This, in turn, allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges can often trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This in turn allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from reoccurring.
Learning objectives:
-Help you understand foundational Data Quality concepts for improving Data Quality at your organization
-Demonstrate how chronic business challenges for organizations are often rooted in poor Data Quality
-Share case studies illustrating the hallmarks and benefits of Data Quality success
You Need a Data Catalog. Do You Know Why?Precisely
Data catalog has become a more popular discussion topic within data management and data governance circles. “What is it?” and “Do I need one?” are two common questions; along with “How does a catalog relate to and support the data governance program?”
The data catalog plays a key role in the governance process; How well information can be managed, aligned to business objectives and monetized depends in great part to what you know about your data.
In this webinar you will learn about:
- The role of the data catalog
- What kinds of information should be in your data catalog
- Those catalog items that can be harvested systemically versus those that require stewardship involvement
- The role of the catalog in your data quality program
We hope you’ll join this on-demand webinar and learn how a data catalog should be part of your governance and data quality program!
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricCambridge Semantics
Watch this webinar to learn about the benefits of using semantic and graph database technology to create a Data Catalog of all of an enterprise's data, regardless of source or format, as part of a modern IT or data management stack and an important step toward building an Enterprise Data Fabric.
Enterprise Data Management Framework OverviewJohn Bao Vuu
A solid data management foundation to support big data analytics and more importantly a data-driven culture is necessary for today’s organizations.
A mature Data Management Program can reduce operational costs and enable rapid business growth and development. Data Management program must evolve to monetize data assets, deliver breakthrough innovation and help drive business strategies in new markets.
Security and privacy of cloud data: what you need to know (Interop)Druva
Is your company thinking about the cloud or already in there but learning fast about the many challenges of the security and privacy of cloud data?
Learn more about the landscape of data in the cloud, and the obstacles that every company should consider when it comes to protecting their down.
Cryptographie avancée et Logical Data Fabric : Accélérez le partage et la mig...Denodo
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.
Creating a Multi-Layered Secured Postgres DatabaseEDB
Join EDB’s SVP of Product Development and Support, Marc Linster in this webinar, he discusses the process of creating a multi-layered security architecture for your Postgres database.
During this session, we will cover:
- Aspects of Data Security
- Authentication, Authorization & Auditing
- Multiple Layers of Security
Learn security best practices for managing your Postgres databases.
Denodo Data Virtualization Platform: Security (session 5 from Architect to Ar...Denodo
Everyone wants to keep their data safe from prying eyes (or even worse). The Denodo Platform has comprehensive security mechanisms to protect your data. This webinar will take a detailed look at how the Denodo Platform provides security.
Agenda:
Security Levels
Security capabilities
User and Role based Security
Security Protocols
Integration with External Security Systems
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
Understand the importance of Data Loss Prevention (DLP) in an evolving threat landscape. An overview to various data transfer channels, security concerns and how Seqrite Data Loss Prevention can tackle those challanges.
One of the most important challenges that system designers and system integrators face when deploying complex Industrial Internet of Things (IoT) systems is the integration of different connectivity solutions and standards. At RTI, we are constantly working to accelerate the Industrial IoT revolution. Over the past few years, we have developed standard connectivity gateways to ensure that DDS systems can easily integrate with other core connectivity frameworks.
This year, we developed a standard OPC UA/DDS Gateway, a bridge between two of the most well-known Industrial IoT connectivity frameworks. We are excited to announce that the gateway was just adopted by the Object Management Group (OMG).
In this webinar, we will dive deeper into the importance of choosing a baseline core connectivity standard for the Industrial IoT and how to ensure all system components are fully integrated. Attendees will also learn:
How the OPC UA/DDS Gateway specification was developed and how it works
How to leverage the Gateway to enable DDS and OPC UA applications to interoperate transparently
About the first standard connectivity gateway released with RTI Web Integration Service in Connext DDS 5.3
Gateways are a critical component of system interoperability and we will keep working to help companies accelerate Industrial IoT adoption.
The data services marketplace is enabled by a data abstraction layer that supports rapid development of operational applications and single data view portals. In this presentation yo will learn services-based reference architecture, modality, and latency of data access.
- Reference architecture for enterprise data services marketplace
- Modality and latency of data access
- Customer use cases and demo
This presentation is part of the Denodo Educational Seminar , and you can watch the video here goo.gl/vycYmZ.
DataStax | Best Practices for Securing DataStax Enterprise (Matt Kennedy) | C...DataStax
This talk will review the advanced security features in DataStax Enterprise and discuss best practices for secure deployments. In particular, topics reviewed will cover: Authentication with Kerberos & LDAP/Active Directory, Role-based Authorization and LDAP role assignment, Auditing, Securing network communication, Encrypting data files and using the Key-Management Interoperability Protocol (KMIP) for secure off-host key management. The talk will also suggest strategies for addressing security needs not met directly by the built-in features of the database such as how to address applications that require Attribute Based Access Control (ABAC).
About the Speaker
Matt Kennedy Sr. Product Manager, DataStax
Matt Kennedy works at DataStax as the product manager for DataStax Enterprise Core. Matt has been a Cassandra user and occasional contributor since version 0.7 and was named a Cassandra MVP in 2013 shortly before joining DataStax. Unlike Cassandra, Matt is not partition tolerant.
BLOCKCHAIN BASED DATA SECURITY AS A SERVICE IN CLOUD PLATFORM SECURITYijccsa
Blockchain is widely used for money related transaction and still there are many proven usecases across
different industries like Retail in stock checks and order management, Manufacturing in good movement
processing, Health care in patient database management to name a few. With this in mind, it is always
important to understand the merits and demerits of both Public and Private Blockchain to understand their
capabilities and limitations to decide which one is more suitable for an industry specific usecase
implementation. In a Cloud based platform, data security plays a crucial role to cater to data protection
and regulatory requirements and Blockchain can play an important role in this for accelerated workflow
by providing ‘data security’ as a service capability.
CRITICISMS OF THE FUTURE AVAILABILITY IN SUSTAINABLE GENDER GOAL, ACCESS TO L...csijjournal
This paper begins with the understanding that criticizes in one of the Sustainable development gender
goal, “Undertake reforms to give women equal rights to economic resources, as well as access to
ownership and control over land and other forms of property ” under the Populations growth and
Climate Change. Because an increasing population generates a number of challenges for today and also
in the future world. According to the results of World Population Prospect 2015, world population
reached 7.3 billion as of mid-2015 and continually increasing to 11.2 billion in 2100, In the meanwhile
world tempter anticipated to increase between 2.6 RCP and 8.6 RCP, therefore, world average sea level
increase in between from 0.4m and 0.9 m in 2010 (IPCC,2014).as a reason world need to face negative
demographical change send of this century. According to gender goals, UN wants to increase the
women's new land access. but it generates the number of unsustainable results in future, because climate
change and population growth affected to huge density and land ownership problems. Therefore in this
paper criticized this Sustainable Development Goal and gender indicators, as same as discussed
technological and sustainable suggestions under the Populations growth and Climate Change.
Blockchain based Data Security as a Service in Cloud Platform Securityijccsa
Blockchain is widely used for money related transaction and still there are many proven usecases across different industries like Retail in stock checks and order management, Manufacturing in good movement processing, Health care in patient database management to name a few. With this in mind, it is always important to understand the merits and demerits of both Public and Private Blockchain to understand their capabilities and limitations to decide which one is more suitable for an industry specific usecase implementation. In a Cloud based platform, data security plays a crucial role to cater to data protection and regulatory requirements and Blockchain can play an important role in this for accelerated workflow by providing ‘data security’ as a service capability.
BLOCKCHAIN BASED DATA SECURITY AS A SERVICE IN CLOUD PLATFORM SECURITYijccsa
Blockchain is widely used for money related transaction and still there are many proven usecases across different industries like Retail in stock checks and order management, Manufacturing in good movement processing, Health care in patient database management to name a few. With this in mind, it is always important to understand the merits and demerits of both Public and Private Blockchain to understand their capabilities and limitations to decide which one is more suitable for an industry specific usecase implementation. In a Cloud based platform, data security plays a crucial role to cater to data protection and regulatory requirements and Blockchain can play an important role in this for accelerated workflow by providing ‘data security’ as a service capability.
Big Data Fabric: A Necessity For Any Successful Big Data InitiativeDenodo
Watch this webinar in full here: https://buff.ly/2IxM8Iy
Watch all webinars from the Denodo Packed Lunch webinar series here: https://buff.ly/2IR3q6w
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.
Attend this session to learn how big data fabric enabled by data virtualization:
• Provides lightning fast self-service data access to business users
• Centralizes data security, governance and data privacy
• Fulfills the promise of data lakes to provide actionable insights
There’s a lot of ‘software vendor hype’ in support of the GDPR, but most of their solutions are ineffective because of limited features that cannot support the comprehensive compliance the GDPR demands.
Index Engines delivers an enterprise class classification, search and management solution to find all personal data under management with considerable precision. As an added bonus, Index Engines is proven to reduce costs and deliver an ROI through clean-up of content that no longer has business value.
During this webinar you'll learn:
Actionable approaches to managing petabytes of data
Proven strategies on classifying and finding personal data
How support for the GDPR can deliver an ROI
No marketing fluff, just a concrete workflow that will get you started
Similar to Secure Data Sharing with the Denodo Platform (20)
Enterprise Monitoring and Auditing in DenodoDenodo
Watch full webinar here: https://buff.ly/3P3l4oK
Proper monitoring of an enterprise system is critical to understanding its capacity and growth, anticipating potential issues, and even understanding key ROI metrics. This also facilitates the implementation of policies and user access audits which are key to optimizing the resource utilization in an organization. Do you want to learn more about the new Denodo features for monitoring, auditing, and visualizing enterprise monitoring data?
Join us for the session with Vijayalakshmi Mani, Data Engineer at Denodo, to understand how the new features and components help in monitoring your Denodo Servers and the resource utilizations and how to extract the most out of the logs that the Denodo Platform generates including FinOps information.
Watch on-demand and Learn:
- What is a Denodo Monitor and what’s new in it?
- How to visualize the Denodo Monitor Information and use of Diagnostics & Monitoring Tool
- Introduction to the new Denodo Dashboard
- Demonstration on the Denodo Dashboard
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
Watch full webinar here: https://buff.ly/4bYOOgb
With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them.
Attend this session to learn:
- The importance of FinOps in a cloud architecture.
- How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from?
- What actions and controls the Denodo Platform offers to keep costs at bay.
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
Watch full webinar here: https://buff.ly/3wBhxYb
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Watch on-demand and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
What you need to know about Generative AI and Data Management?Denodo
Watch full webinar here: https://buff.ly/3UXy0A2
It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management.
Join us on this webinar to learn about:
- The opportunities and challenges presented by GenAI today.
- Exploiting GenAI to democratize data management.
- How to augment GenAI applications with corporate data and knowledge.
- How to get started.
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
Watch full webinar here: https://buff.ly/48rpLQ3
Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment.
This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges.
Key Takeaways:
- How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape?
- Keys to balancing data accessibility with security and privacy in today's data-driven environment.
- What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them?
We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
Watch full webinar here: https://buff.ly/3OCQvGk
In this session, Denodo Sales Engineer, Yik Chuan Tan, will guide you through the art of delivering a compelling demo of the Denodo Platform with Denodo Demo Lite. Watch to uncover the significant functionalities that set Denodo apart and learn how to effectively win over potential customers.
In this session, we will cover:
Understanding the Denodo Platform & Tailoring Your Demo to Prospect Needs: By gaining a comprehensive understanding of the Denodo Platform, its architecture, and how it addresses data management challenges, you can customize your demo to align with the specific needs and pain points of your prospects, including:
- seamless data integration with real-time access
- data security and governance
- self-service data discovery
- advanced analytics and reporting
- performance optimization scalability and deployment
Watch this Denodo demo session and acquire the skills and knowledge necessary to captivate your prospects. Whether you're a seasoned technical professional or new to the field, this session will equip you with the skills to deliver compelling demos that lead to successful conversions.
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
Watch full webinar here: https://buff.ly/3wdI1il
As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away.
Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value.
Key topics this panel will address include:
- Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh
- Deciding whether to consolidate data silos or bridge them with distributed data technologies
- Enabling easier self-service access and analytics across a distributed data environment
- Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments
- Monitoring and data observability for spotting problems and ensuring business satisfaction
Watch full webinar here: https://buff.ly/3UE5K5l
The ability to recognize and flag sensitive information within corporate datasets is essential for compliance with emerging privacy laws, for completing a privacy impact assessment (PIA) or data subject access request (DSAR), and also for cyber-insurance compliance. During this session, we will discuss data privacy laws, the challenges they present, and how they can be applied with modern tools.
Join us for the session driven by Mark Rowan, CEO at Data Sentinel, and Bhavita Jaiswal, SE at Denodo, who will show how a data classification engine augments Data Catalog to support data governance and compliance objectives.
Watch on-demand & Learn:
- Changing landscape of data privacy laws and compliance requirements
- How to create a data classification framework
- How Data Sentinel classifies data and this can be integrated into Denodo
- Using the enhanced data classifications via consuming tools such as Data Catalog and Power BI
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
Watch full webinar here: https://buff.ly/3OETC08
По данным аналитической компании Gartner, "к 2022 году 60% предприятий включат виртуализацию данных в качестве основного метода доставки данных в свою интеграционную архитектуру". Компания Gartner назвала Denodo лидером в Магическом квадранте 2020 года по инструментам интеграции данных.
В ходе этого 1,5-часового занятия вы узнаете, как виртуализация данных революционизирует бизнес и ИТ-подход к доступу, доставке, потреблению, управлению и защите данных, независимо от возраста вашей технологии, формата данных или их местонахождения. Эта зрелая технология устраняет разрыв между ИТ и бизнес-пользователями и обеспечивает значительную экономию средств и времени.
**ФОРМАТ
Онлайн-семинар продолжительностью 1 час 30 минут.
Благодаря записи вы можете выполнять упражнения в своем собственном темпе.
**ДЛЯ КОГО ЭТОТ СЕМИНАР?
ИТ-менеджеры / архитекторы
Специалисты по анализу данных / аналитики
CDO
**СОДЕРЖАНИЕ
В программе: введение в суть виртуализации данных, примеры использования, реальные примеры из практики клиентов и демонстрация возможностей платформы Denodo Platform:
Интеграция и предоставление данных быстро и легко с помощью платформы Denodo Platform 8.0
Оптимизатор запросов Denodo предоставляет данные в режиме реального времени, по запросу, даже для очень больших наборов данных
Выставлять данные в качестве "сервисов данных" для потребления различными пользователями и инструментами
Каталог данных: Открывайте и документируйте данные с помощью нашего Каталога данных
пространства для самостоятельного доступа к данным.
Виртуализация данных играет ключевую роль в управлении и обеспечении безопасности данных в вашей организации
**ПОВЕСТКА
Введение в виртуализацию данных
Примеры использования и примеры из практики клиентов
Архитектура - Управление и безопасность
Производительность
Демо
Следующие шаги: как самостоятельно протестировать и внедрить платформу
Интерактивная сессия вопросов и ответов
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
Watch full webinar here: https://buff.ly/41Zf31D
Despite recent and evolving technological advances, the vast amounts of data that exist in a typical enterprise is not always available to all stakeholders when they need it. In modern enterprises, there are broad sets of users, with varying levels of skill sets, who strive to make data-driven decisions daily but struggle to gain access to the data needed in a timely manner.
Join our webinar to learn how to:
- Unlock the Power of Your Data: Discover how data democratization can transform your organization by giving every user access to the data they need, when they need it.
- Say 'Goodbye' to Data Fragmentation: Learn practical strategies to break down data silos and foster a more collaborative and efficient data environment.
- Realize the Full Potential of Your Data: Hear success stories about industry leaders who have embraced data democratization and witnessed tangible results.
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
Watch full webinar here: https://buff.ly/48ZpEf1
In this session, we will cover a deeper dive into the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam by answering any questions that have developed since the previous session.
Additionally, we invite partners to bring any general questions related to Denodo, the Denodo Platform, or data management.
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
Watch full webinar here: https://buff.ly/3SnH5QY
2023 is coming to an end where organisations dependency on trusted, accurate, secure and contextual data only grows more challenging. The perpetual aspect in seeking new architectures, processes, organisational team structures to "get the business their data" and reduce the operating costs continues unabated. While confidence from the business in what "value" is being derived or "to be" delivered from these investments in data, is being heavily scrutinised. 2023 saw significant new releases from vendors, focusing on the Data Fabric.
At this session we will look at these topics and key takeaways for 2023, including;
- Data management and data integration market highlights for 2023
- Key achievements for Denodo in their journey as a leader in this market
- A few case studies from Australian organisations in how they are delivering strategic business value through Denodo's Data Fabric platform and what they have been doing differently
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
Watch full webinar here: https://buff.ly/3S4Y49o
A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof?
For example:
- Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation.
- Data Architectures will need to adapt to feed these powerful new models.
- Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads better.
Join us for a discussion on the most significant trends in the Data & AI space, and how you can prepare to ride this wave!
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
Watch full webinar here: https://buff.ly/3O7rd2R
Afin d’être conformes au RGPD, les entreprises ont besoin d'avoir une vue d'ensemble sur toutes leurs données et d'établir des contrôles de sécurité sur toute l'infrastructure. La virtualisation des données de Denodo permet de rassembler les multiples sources de données, de les rendre accessibles à partir d'une seule couche, et offre des capacités de monitoring pour surveiller les changements.
Pour cela, Square IT Services a développé pour l’un de ses grands clients français prestigieux dans le secteur du luxe une interface utilisateur ergonomique qui lui permet de consulter les informations personnelles de ses clients, vérifier leur éligibilité à pratiquer leur droit à l'oubli, et de désactiver leurs différents canaux de notification. Elle dispose aussi d'une fonctionnalité d'audit qui permet de tracer l'historique des opérations effectuées, et lui permet donc de retrouver notamment la date à laquelle la personne a été anonymisée.
L'ensemble des informations remontées au niveau de l'application sont récupérées à partir des APIs REST exposées par Denodo.
Dans ce webinar, nous allons détailler l’ensemble des fonctionnalités de l’application DPO-Cockpit autour d’une démo, et expliquer à chaque étape le rôle central de Denodo pour réussir à simplifier la gestion du RGPD tout en étant compliant.
Les points clés abordés:
- Contexte client face aux enjeux du RGPD
- Défis et challenges rencontrés
- Options et choix retenu (Denodo)
- Démarche: architecture de la solution proposée
- Démo de l'outil: fonctionnalités principales
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
Watch full webinar here: https://buff.ly/48zzN2h
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
How to Build Your Data Marketplace with Data Virtualization?Denodo
Watch full webinar here: https://buff.ly/4aAi0cS
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this live webinar to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
Enabling Data Catalog users with advanced usabilityDenodo
Watch full webinar here: https://buff.ly/48A4Yu1
Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities.
Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog.
Watch on-demand & Learn:
- Enhanced search capabilities using multiple terms.
- How to create workflows to manage internal requests.
- How to leverage the AI capabilities of Data Catalog to generate SQL queries from natural language.
Watch full webinar here: https://buff.ly/3vjrn0s
The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture.
This exam covers the following technical topics and subject areas:
- Denodo Platform functionality, including
- Governance and metadata management
- Security
- Performance optimization
- Caching
- Defining Denodo Platform use scenarios
Along with some sample questions, a Denodo Sales Engineer will help you prepare for exam topics and ace the exam.
Join us now to start your journey toward becoming a Certified Denodo Architect Associate!
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
Watch full webinar here: https://buff.ly/3NLMSNM
El Generative AI y los Large Language Models (LLMs), encabezados por GPT de OpenAI, han supuesto la mayor revolución en el mundo de la computación de los últimos años. Pero ¿Cómo afectan realmente a la gestión de datos? ¿Reemplazarán los LLMs al profesional de la gestion de datos? ¿Cuánto hay de mito y cuánto de realidad?
En esta sesión revisaremos:
- Que es la Generative AI y por qué es importante para la gestión de datos
- Presente y futuro de aplicación de genAI en el mundo de los datos
- Cómo preparar tu organización para la adopción de genAI
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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.
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.”
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.
5. 5
The Importance of Data Sharing
• Gain of productivity
• Increases collaboration
• Widen scope of opportunities
• Necessary for efficient data governance
• Support Decentralized data ownership
• Enable self-service data platform
• Data as a product / as an enterprise asset
• Data monetization / Data services
6. 6
Data Sharing in Denodo
• Single place to access any data
• Hides complexity of back-ends
• On-prem vs. Cloud
• Formats and protocols
• Documentation, lineage, collaboration…
• Flexible access across multiple standard,
SQL, REST, OData, GraphQL, GeoJSON…
• Secure & controlled data delivery layer
SQL
API
MART
9. 9
Denodo Platform Authentication – Northbound
• Client application -> Denodo Platform.
• For SQL-based access:
• Username and passwords
• Often authentication is delegated to an external LDAP/AD
server
• Use Kerberos for Single Sign On / integrated Windows auth
• OAuth 2.0 for JDBC and ODBC
• For Web Application:
• SAML, OpenID, OAuth 2.0 authentication
• Integrate with Identity Providers
• e.g. Azure AD, PingFederate, Okta, …
10. 10
Denodo Platform Authentication – Southbound
• Denodo Platform -> Data Source.
• Multiple options adapted to the nature of each source:
• Use a service account for the source.
• The Denodo Platform always uses those credentials
• User/password, Kerberos, OAuth, AWS auth, etc.
• Use credentials pass-through.
• Access the data source using the same credentials that were used to
authenticate with the Denodo Platform northbound
• E.g. user/password passthrough, Kerberos constrained delegation, etc.
• No possible for all protocol combinations
• E.g. OAuth to user/password is not possible as password is not available in Oauth token
11. 11
Denodo Platform Authorization
• Role-based Authorization
• Users/roles can be defined in the Data Virtualization layer and assigned specific permissions
• Fine-grained authorization
• Several permissions scopes:
• Virtual Database level (e.g. credit risk database, etc.)
• Views level (e.g. “Regional Risk Exposure”, etc.)
• Row level (filter rows that are not authorized)
• Column level:
• Grant/block access
• Data masking (hiding sensitive fields)
15. 15
Policy Based Resource Management
Denodo includes a resource manager to further control and restrict how data is
accessed
• Specific rules (e.g. for a role, a time of the day, a specific table, etc.) that apply
restrictions to the execution
• Sources protection
• Pass/deny depending on time of the day
• Smaller timeouts for certain applications
• Quotas (10 queries per hour) per user or role
• Etc.
18. 18
Advanced Semantic Layer: Tags (8.0u3)
• Expand Denodo Semantic Layer beyond data delivery
• Tags, endorsements, comments, activity usage,…
• Tags add additional semantics that can be used for:
• Data Discovery
• Search and classification
• Security and Governance
• Integration with third party tools
• Import tags, classes and terms from leading DG and
metadata management tools (Collibra, etc.)
19. 19
Semantic Governance and Security Policies (Q4 2021)
• Define security rules in function of semantics (tags), independent of specific tables
and views
• Security rules apply to multiple elements. No need to define security for each
specific table/view
• E.g. columns with SSNs will be visible to HR and otherwise masked with *** except the last 4
digits
• Easier to govern, less error prone
• Allows for implementation of security rules across the data landscape,
independent of technologies underneath
22. 22
Cosmian’s Attributes Base Encryption and Access Control
Assigning “access control attributes” separately
to users and to data
Snowflake:
Data, Databases
Users
N
5
N
5
N
2
N
2
H
R
R
&
D
H
R
&
Attributes
N
5
N
2
N
1
R
&
D
[…]
H
R
[…]
1 Ultra-secure data access control
Snowflake:
Data, Databases
Users
N
5
N
2
N
2
R
&
D
H
R
&
2
N
2
N
5
H
R
N
2
X
● Increase security access policies by encrypting data with authorization attributes
● Trusted third party data decryption service, data access can be revoked in a single place
● Support monotonous logical policies: combination of OR and AND; ex: access if (a OR b) AND c
23. 23
Denodo, Role Base Data Access Control
Attributes
Confidential Data
Intelligence Platform
Key Vault
API / TSL
KMIP / TSL
Protected Source
Protected Source
N
1
N
2
JDBC
REST/JSON
N
1
N
2
KMIP / TSL
Finance
HR
K1
K2
K1 K2
N
1
N
1
N
2
24. 24
Cipher Data Sharing
DATA DELIVERY
RDMS
SAS
API
Cipher Join
Decrypt Role Based
Views
Interfaces
Remote Tables
Contact
SQL
Cipher Data
Data Materialization
Remote Table
Synchronization
Cipher
Cipher (val, attr)
Attributes
Confidential Data
Intelligence Platform
Decrypt (key, cipher)
API
N
1
N
2
Key Vault
Portfolios User Key
27. 27
Conclusions
• Data Sharing is a key piece in many digital transformation initiatives and analytic
architectures:
• API Economy, Self service BI, data mesh, etc.
• Security is the main pillar that sustains data sharing initiatives
• Denodo provides advanced security features that enable a data sharing practice at
scale
• SSO and IdP integration
• Role Based Access Control, with row, column and masking controls
• Attribute Based Access Control with tag-based security policies
• Integration with third party tools (e.g. for encryption, obfuscation, etc.)