We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...

In an era when research data is intellectual capital, the notion of security and compliance as an afterthought is not only outdated, it’s dangerous. Scientific credibility now hinges as much on the ...

Quality and speed do not always go hand in hand. In test data management, however, they need to, because it has become more important than ever to deliver high-quality software quickly and safely. Any ...

There appears to be code logic that breaks referential integrity constraints and causes inconsistencies during execution. I would like to share this to understand if the issues are valid in the ...

The Executive Chairman, Ogun State Internal Revenue Service (OGIRS), Mr. Olugbenga Olaleye, has charged Directors, Zonal Controllers, Tax Office Managers and Heads of Units to ensure total compliance ...

In an information-intensive environment, data is nearly as important as your materials, tooling and machinery. Data drives design, simulation, production and logistics. Virtual design and simulation ...

For more than 25 years, my work has revolved around one guiding principle: quality. In the life sciences sector, safeguarding data integrity, compliance and ethical practices has never been optional.

Native AI-powered platform delivers zero gap data integrity with unprecedented visibility and accessibility throughout the entire data lifecycle Shield, the industry's most comprehensive digital ...

"How to invest for rising data-integrity risk..." What does that even mean? If you're reading this story, you're probably an investor. And, if you're an investor, you're probably well aware of the ...

Lauren Matheny and Kevin Gittner The online survey market is projected to exceed $32 billion by 2030, according to Global Market Insights, but integrity of data collected by those surveys is often ...

Affiliate Bruce Schneier and coauthor Davi Ottenheimer argue that the emergence of AI agents in the (near) Web 3.0 future necessitates data integrity, in the sense that users should understand why ...