Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

The modern data stack was built for humans asking questions. Google just rebuilt its for agents taking action.

Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.
Visual Studio Magazine

Using Data API Builder to Speed Up Application Development

Microsoft's Data API Builder is designed to help developers expose database objects through REST and GraphQL without building a full data access layer from scratch. In this Q&A, Steve Jones previews ...
Hosted on MSN

Open-source Databricks medallion pipeline debuts on GitHub

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...
Virtualization Review

Rubrik Unveils Google Cloud AI and SQL Security Tools

During Google Cloud Next, Rubrik rolled out one announcement aimed at AI agent governance and another focused on cyber resilience for Google Cloud SQL.