Remove Data Architecture Remove Data Discovery Remove Data Management Remove Data Warehouse
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Evaluating Data Lakes vs. Data Warehouses

Dataversity

While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.

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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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Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization.

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What Is Embedded Analytics?

Insight Software

New data discovery solutions now offer business analysts something better than Microsoft Excel—with minimal dependency on IT resources. These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems.