Databricks declares the end of pipelines with a unified platform for operational and analytical data - SiliconANGLE ...

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 ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

The data and AI platform developer is now marketing its new Zerobus Ingest software as an alternative to legacy message-based software for real-time and near-real-time data movement. Databricks is ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

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 ...

New Delhi: Tata Power is pushing deeper into AI and data, and this time it is not just a pilot or small rollout. The company has announced a full enterprise-wide move to the Databricks platform, ...