Data Management

Showing 81 - 90 of 175 pages tagged with: Data Management

Cloud Migration Strategies that Ensure Greater Value for the Business

The cloud is no longer the future; the cloud is now. Companies continue to shift their workloads and data to the cloud to leverage the speed, agility, and efficient scalability the cloud offers. As a result, there is increasing attention given to cloud-based data warehouses, data lakes, and lake houses as a way for organizations to simplify managing their ever-increasing volumes of data. However, many find that these new technologies only complicate the data management process.Join Kevin Bohan, Director of Product Marketing at Denodo as he explores the challenges faced when adopting cloud...

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TDWI Best Practices Report: Maximizing Business Value with Data Platforms, Data Integration, and Data Management

Maximizing the value of data platforms with data integration and data management capabilities is essential for organizations that want to become data- and analytics-driven. Increasingly—but not entirely—based in the cloud, these systems and services are the engine of modern applications and smarter processes for higher business efficiency and innovation.Research indicates the need for tighter integration between two traditionally separate worlds: one devoted to analytics generation and the data integration, platforms, and management that support analytics, and the other devoted to mission-...

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Maximizing the Business Value of Data: Platforms, Integration, & Management

Research Insights from the Q3 2022 TDWI Best Practices Report

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Analyst Webinar: The Role of a Logical Architecture in Modern Data and Analytics

Modern data and analytics requires empowerment of business users who possess domain knowledge and are best suited to have decentralized data ownership. But the current data landscape, which has a heavy dependency on data warehouse, is limited in terms of flexibility, extensibility and comprehensibility.In this session, we will reflect on the findings from the recent BARC report “The Future of Data Architecture - Has the data warehouse had its day?” with one of its authors, Jacqueline Bloemen, Senior Analyst at BARC. Jacqueline will provide us with insights pulled from the global survey...

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Myth Busters VII: I’m building a data mesh, so I don’t need data virtualization

A data mesh architecture offers a lot of promise to change the way we manage data – and for the better. But there’s a lot of confusion about a data mesh. People will tell you that you can build a data mesh on top of a data lake or on top of a data warehouse, and that you don’t need data virtualization to build a data mesh.Many vendors are jumping on to the data mesh bandwagon and are claiming that they inherently support a data mesh architecture. But do they? How much of this is hype versus reality? Is it true that you don’t need data virtualization to build a scalable, enterprise-grade data...

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How to Elevate Enterprise Intelligence in Your Organisation

IDC predicts that the amount of data created across the globe will grow by more than 3x over the next four years (from 12.4ZB in 2021 to more than 40ZB in 2025) and 25% of the global datasphere will consist of real-time data by 2025. Data management and data integration pose significant barriers to leveraging this data.IDC’s concept of the Data Control Plane can help to address these challenges. It is an architectural layer that combines a holistic set of data activities to manage and control the behavior of people and processes in the use of distributed, diverse, and dynamic data to better...

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IDC InfoBrief: Enterprise Intelligence Unlocked

Assessing the Central Role of Data Control Plane and Data Virtualization

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Why is Active Metadata Management Essential?

Podcast Guest: Ravi Shankar, Senior VP & Chief Marketing Officer at Denodo

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Overcoming Data Management Challenges in AI/ML

The ever-growing data landscape drives initiatives to automate many aspects of the analytics lifecycle; such as data access, enablement of semantics, BI and others. Automation has become an integral part of our daily lives in the enterprise data fabric. The AI-driven initiative to automate the data access and provide guidance to the right data assets, correlates with the initiatives of the data scientists to get access to more curated data.In this session we will discuss:The need for AI driven automation and associated challengesLogical Data Fabric architecture for AI initiativesEmpowering...

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Enterprise Data Marketplace: A Centralized Portal for All Your Data Assets

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 a single access point...

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