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 ...

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 ...

Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...

Databricks has expanded its integration with Microsoft’s ecosystem, introducing a Power Platform connector and new Azure Databricks capabilities to link AI, analytics, and collaboration tools. These ...

Databricks, which has traditionally appealed to coding-savvy data scientists and data engineers, is making a play to broaden its base of users with new products unveiled this week at the company’s ...

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 ...