ai_decide is a new Databricks AI Function that makes fast decisions directly on your data. It takes unstructured text and ...

Unity catalog managed tables allow you to control the placement of your data when your organization needs separate storage.

Lakebase is cost-efficient by design because its separated storage and compute architecture lets branching, read replicas, ...

Five system table queries to track Databricks spend — by product, warehouse, and team, with anomaly detection and AI ...

See how anomaly detection catches gray failures — silent, partial outages that slip past green dashboards — in minutes, and ...

Across its production AI environment, Concurrence now processes approximately 100.8 billion input tokens and 11.2 million LLM calls every 30 days, equivalent to an annualized run rate of roughly 1.2 ...

This post walks through how we approach mobile security internally. Instead of focusing on just one product, our approach consists of four layers, each serving a specific purpose: device management, ...

National Australia Bank, Australia’s largest business bank, uses Databricks Data + AI Platform to provide data at speed, scale, and security for 8.5 million customers. With Unity Catalog and a single ...

Read restrictions and catalog labels are two new specs from Apache Iceberg™ that help standardize how policies are enforced ...

ACID transactions are database operations that follow four guarantees: atomicity, consistency, isolation and durability. These properties ensure that either all parts of a transaction succeed or none ...