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3 Data Management Questions to Ask Before Choosing a Cloud-Based Vendor

Dataversity

In 2022, ensuring best-in-class Data Management is anything but straightforward for CIOs and IT leaders. The volume, variety, and velocity of data being collected have grown exponentially, as has the number of cloud solutions that require the use of this data without your direct control.

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Cloud Data Management Challenges and Best Practices

Dataversity

The ceaseless growth in data volume has brought with it numerous challenges, with most of the challenges associated with access management, data security, and regulatory […]. The post Cloud Data Management Challenges and Best Practices appeared first on DATAVERSITY.

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Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

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5 Data Management Trends Data Practitioners and CIOs Should Know in 2024 and 2025

Dataversity

Organizations across all categories and sizes (MNCs and SMEs) have started making critical business decisions based on insights gathered from collected data.

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Zero-Trust Data Management Is the Future – How You Can Get Ready Today

Dataversity

This strategy, however, is now obsolete due to the inception of perimeter-less work environments […] The post Zero-Trust Data Management Is the Future – How You Can Get Ready Today appeared first on DATAVERSITY.

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Data Security in the Age of Cloud Computing

The Data Administration Newsletter

Before cloud computing services, business leaders would need to build their own data centers and servers to achieve the same level of operational capability, Now, as e-commerce continues to grow and digitalization […]

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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.