Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Alteryx is pushing analytics into the data lakehouse rather than pulling data out. Chief Product Officer Ben Canning explains why governance and business user access remain the real barriers to ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.

Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Fix for the Pandas to_sql() dataframe method that fails when we try pushing more than 255 values to a Databricks table. I also changed the way the source dataframe gets broken up into chunks, since I ...

The IPO window may have cracked open, but it seems some former startups have no intention of going public. Makes sense, in a way: IPOs were traditionally a way to raise money, and if you can manage to ...

Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. When John Pitzel started the 2025 Tokyo ...

Which feature in SQL Server and Azure Synapse Analytics lets you run T-SQL queries against external data stores and makes those external sources appear as tables in a SQL database?