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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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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: Strategy, Benefits, Best Practices

Astera

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

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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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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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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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5 Best Practices for Data Management in the Cloud

The Data Administration Newsletter

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.