Multi-cloud strategies are transforming how enterprises manage data, blending AWS, Azure, GCP, and Databricks for flexibility, resilience, and cost control. With orchestration, performance tuning, and ...

Demand for end-to-end platforms, the convergence of data and AI, and the evolution of roles in the generative AI era are all driving the change, say analysts. Data warehousing, business intelligence, ...

Databricks, known for secure data storage and AI, has launched a new AI business intelligence dashboard called Databricks One, designed for nontechnical business users across various departments.

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

Combines Oracle Autonomous AI Database with vendor-independent Apache Iceberg enabling customers to run AI and analytics securely on all their data Now available on OCI, AWS, Azure, Google Cloud, and ...

Enterprise AI keeps hitting the same wall - not enough people who know how to use it. Databricks is spending $10 million to fix that constraint in the UK, but the real question is whether vendor-led ...

A core element of any data retrieval operation is the use of a component known as a retriever. Its job is to retrieve the relevant content for a given query. In the AI era, retrievers have been used ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...