Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot ...

Million Medicare Patients. 10 Years. Unlimited Insights. VIENNA, VIRGINIA / ACCESS Newswire / September 4, 2025 / Today, we at GenHealth ( are introducing something that will transform healthcare data ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic ...

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

WIRED Brand Lab | How Microsoft SQL Server 2022, accelerated by 4th Generation Intel® Xeon® Scalable processors, is helping customers take charge of their data, drive insights, and launch ...

In addition, there isn’t a need for point-in-time or up-to-the-minute restores.For more information on recovery models review chapter 3, “Administering SQL Server 2005 Database Engine” on my ...

SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases.

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why.