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Integrate Data Architecture with Business Operations to Boost Success Now

Dataversity

In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success.

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Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

Agility is key to success here. However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY.

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Cloud Transition for Startups: Overcoming Data Management Challenges and Best Practices

Dataversity

For startups, transitioning to the cloud from on-prem is more than a technical upgrade – it’s a strategic pivot toward greater agility, innovation, and market responsiveness. Streamlining […] The post Cloud Transition for Startups: Overcoming Data Management Challenges and Best Practices appeared first on DATAVERSITY.

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The Role of Data Integration in Building an Effective Enterprise Data Architecture

Astera

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

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The Role of Data Integration in Building an Effective Enterprise Data Architecture

Astera

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

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What is Data Architecture? A Look at Importance, Types, & Components

Astera

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

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The End of Agile – Part 2 (Critiques of Agile)

The Data Administration Newsletter

In the first article of this series, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace […]

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