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 ...

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.

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

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

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

Recent SQL Server 2025, Azure SQL, SSMS 22 and Fabric announcements highlight new event streaming and vector search capabilities, plus expanding monitoring and ontology tooling -- with tradeoffs in ...

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

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 ...

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' ...

Synthesizing tables—creating artificial datasets that closely resemble real ones—plays a crucial role in supervised machine learning (ML), with a wide range of practical applications. These include ...