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Tales & Tips from the Trenches: Demystifying Edge Computing

The Data Administration Newsletter

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

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 Top 5 Data Preparation Tools In 2023

Astera

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

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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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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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Do You Need a Semantic Layer?

Dataversity

I co-founded my company to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects, who originally coined it in the 1990s. The term was actually over 20 years old […].

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Self-Service Data Access Best Practices

The Data Administration Newsletter

Today’s digital realm increasingly emphasizes the value of self-service data access. However, with this rapid shift towards democratized data access come challenges that organizations need to address. One central conundrum confronts businesses: How can they provide expansive data access while ensuring that information […]

Digital 52
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What Is Embedded Analytics?

Insight Software

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.