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TDWI Articles

Data Digest: Data Stacks, Data Platforms, Self-Service Strategies

The benefits of different types of data stacks, the possibility of a new type of data platform, and the difficulties with self-service data initiatives.

Five Value-Killing Traps to Avoid When Implementing a Semantic Layer

When architecting and implementing your semantic layer, consider these issues and take steps to avoid them for more actionable, accurate insights from your data and enhanced user satisfaction.

Data Mesh Domains Explained

At the heart of a data mesh are data mesh domains, but what are they, exactly? We explain the basics you need to know.

Executive Q&A: How Generative AI Is Changing How We Think About Analytics

Structured enterprise data may just be generative AI’s next breakthrough area. We asked Nima Negahban, cofounder and CEO of Kinetica, to explain how the technology is being used in a variety of industries.

Navigating Data Lake Challenges: Governance, Security, and Automation

Data lakes can save your enterprise money, but they come with their own set of challenges. These tips will help you overcome three of the biggest issues.

Data Mesh: Benefits, Challenges, and How To Get Started

Fern Halper, TDWI’s vice president and senior director of research for advanced analytics, discusses the data mesh, including the opportunities and challenges it presents.

Clearing Up Cloud Confusion for Data Warehousing (Part 2 of 2)

Before moving your data warehouse or lake to the cloud, it’s vital to have clear skies and a good view of the horizon.

Cloud Confusion for Data Warehousing (Part 1 of 2)

If you are planning to move your data warehouse or data lake to the cloud, the current outlook is somewhat foggy.

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