A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

Snowflake faces structural issues, hyperscaler rent, geopolitical data localization, and self-inflicted pricing pressure from ...

description: Learn how to design and implement error handling strategies in Azure Databricks data pipelines, notebooks, and jobs using expectations, retry policies ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

OpenAI is walking away from expanding its flagship Stargate data center with Oracle because it wants next-generation Nvidia chips at new sites instead. Oracle is the only major player funding the AI ...

COLUMBUS, Ohio—State officials’ approval of a $4.5 million tax break for a Northeast Ohio data‑center expansion was met with a chorus of online criticism, given that the project will only create 10 ...

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...

Choosing the right data platform is critical for the modern enterprise. These platforms not only store and protect enterprise data, but also serve as analytics engines that source insights for pivotal ...

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

Skills for AI coding assistants (Claude Code, Cursor, etc.) that provide Databricks-specific guidance. All changes require approval from a code owner (see CODEOWNERS ...

Here’s a little secret for you: The next wave of AI success is going to be completely dependent on structured data. Maybe that’s a no-brainer to you. Maybe I’m telling you that the next time you take ...