Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of ...

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

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs.

Overview Healthcare data science jobs combine technical expertise with meaningful, real-world impact.Roles such as Data Engineer or Operations Analyst emphasize ...

CIOs who develop a competitive advantage through AI focus on the underlying IT infrastructure, and the right data foundations allow the business to shift rapidly as new opportunities emerge.

DuckDB is an in-process SQL database built for speed, simplicity, and analytics. Often called the “SQLite for analytics,” it runs directly inside your application, with no server setup, and handles ...

The 323-GB trove stored close to a million records, including Social Security numbers, email addresses, physical addresses, dates of birth, and medical data—all organized by name.

A next-generation graph-relational database (DB) system has been developed in South Korea. If this system is applied in ...

MongoDB is a document-oriented database that accelerates applications’ development timeframe. Compared with traditional SQL databases, MongoDB allows developers to store data in a more flexible format ...