Modern semantic search does not have to require a separate vector database. Data architects, database engineers, developers, or platform leaders can integrate Vertex AI and Cloud SQL vector indexes ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature stores, and “bring your own […] Apr 10, 2026 Read in Browser  Apr 10, 2026 ...

Learn how Power BI Analytics in Microsoft BI uses data modeling, DAX, Power Query M, and a data gateway to build secure, ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

AI. Learn why the schema confidence gap matters, what it costs, and how to close it with automated governance.

With telecom investment no chump change, there is skin in the game for the cloud giants, especially for Google as it aims to ...

On the server and on the desktop, these apps helped showcase what Linux can do.

Enterprises face challenges scaling AI beyond pilots as legacy systems, governance gaps, and infrastructure constraints hold them back. The post Overcoming barriers to database modernisation in the AI ...

As we continue to integrate AI into our jobs, will we also redesign the path to leadership with as much care as we are ...

We humans perpetually try to understand the world around us, seeking to simplify what is inherently complex. One of the most complex areas we encounter is relationships. Because we aren’t in others' ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...