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 large AI models, integration ...

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

As cloud costs rise, healthcare IT leaders rethink what truly belongs off-prem, such as resource-heavy workloads and ...

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

Cybersecurity researcher Jeremiah Fowler has once again highlighted the fragility of data security, uncovering an unprotected ...

Of course, if your PG server is running on a virtual machine, increasing hardware resources can also be an emergency option.

Async I/O and UUID v7 highlights of the September release, though some SQL features are delayed Users and developers can ...

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

The company has yet to publicly confirm the new cuts to its workforce, but state data shows that Oracle is reducing its Seattle-area workforce by 101 employees. The layoffs were filed with Washington ...

Bharat Kumar Dokka is a distinguished Associate Technical Architect with over 15 years of experience in database product ...

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...