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What is enterprise architecture? A framework for transformation

CIO

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Making it easier to evaluate existing architecture against long-term goals.

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Performance in Logical Architectures and Data Virtualization with the Denodo Platform and Presto MPP

Data Virtualization

Reading Time: 2 minutes In the realm of logical architectures and data virtualization, one question consistently arises: Can these architectures deliver the performance required for complex analytics scenarios? Today, we’ll explore the answer to this pressing question and dive into the game-changing integration of.

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Modernize Your Data Architecture with Data Virtualization

Data Virtualization

Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

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Modernize Your Data Architecture with Data Virtualization

Data Virtualization

Practically overnight, organizations have been forced to adapt by modernizing their data architectures to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

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Unifying Enterprise AI and Hybrid, Multicloud Architecture, Using Data Virtualization

Data Virtualization

The post Unifying Enterprise AI and Hybrid, Multicloud Architecture, Using Data Virtualization appeared first on Data Virtualization blog. After over a year of the COVID-19 pandemic, perhaps we can now finally see the light at the end of the tunnel, though it may still seem a bit far off.

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Why Data Mesh Needs Data Virtualization

Data Virtualization

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. The post Why Data Mesh Needs Data Virtualization appeared first on Data Virtualization blog.

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Why Data Mesh Needs Data Virtualization

Data Virtualization

“Data mesh” is a new data analytics paradigm proposed by Zhamak Dehghani, one that is designed to move organizations from monolithic architectures such as the data warehouse and the data lake to more decentralized architectures. The post Why Data Mesh Needs Data Virtualization appeared first on Data Virtualization blog.