Security

Showing 1 - 8 of 8 pages tagged with: Security

What you need to know about Generative AI and Data Management?

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...

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What you need to know about Generative AI and Data Management? (INDIA & KOREA)

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...

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Denodo Partner Connect: Technical Webinar - Architect Associate Certification Preparation

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, includingGovernance and metadata managementSecurityPerformance optimizationCachingDefining Denodo Platform use scenariosAlong with some sample questions, a Denodo Sales Engineer will help...

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How Semantics Simplifies Data Sharing at an Enterprise Level

Semantics has been a topic often associated with academia with little impact in the analytics world. However, that tendency is starting to change, fueled by self-service and data democratization initiatives that broaden the scope of who’s accessing data and what those users expect.In this session, Pablo Alvarez, Global Director of Product Management, takes you for a deep dive into the exciting uses of semantics in data management. He will discuss why semantics is important for your data strategy, and how it can radically change your approach to managing things like self service, security, and...

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The Role of Data Governance & Security in IT Transformation

Podcast Guest: Fred Baradari, Partner & Channel Sales Director at Denodo

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Secure Your Data with Virtual Data Fabric (ASEAN)

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...

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Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (ASEAN)

So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data...

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Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data Virtualization

So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data...

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