Redgate is adapting its database platform with AI, but opts for a human-centered approach. CTO McMillan talks about trust and ...

In the meantime, the big question for data leaders is where to implement this logic. The market has split into two ...

Overview: Text-to-SQL simplifies queries but can misinterpret data structures and phrases.Ensuring up-to-date schema info and providing examples improves accura ...

One key to efficient data analysis of big data is to do the computations where the data lives. In some cases, that means running R, Python, Java, or Scala programs in a database such as SQL Server or ...

Enterprises are creating huge amounts of data and it is being generated, stored, accessed, and analyzed everywhere – in core datacenters, in the cloud distributed among various providers, at the edge, ...

Kinetica, the speed layer for generative AI and real-time analytics, is integrating with a native large language model (LLM) that enables consumers to use natural language to perform ad-hoc analysis ...

The Common Data Model, which Microsoft describes as "an out-of-box business database for storing and managing business entities," is at the center of its PowerApps service for building custom business ...

To make productive use of the ever-growing volumes of data, businesses and organizations need the right database systems to manage all that data and make it available for transactional and analytical ...

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and querying ...