Databricks Inc. has snapped up a startup called BladeBridge Inc., which offers tools for migrating enterprise data warehouses. The big-data company said Wednesday it plans to integrate its technology ...

Distributed data analytics vendor Databricks Inc. today debuted its third vertical-industry product in as many months with a platform for healthcare and life sciences. The Databricks Lakehouse for ...

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit. Using this new capability, enterprises can bring together their various siloed data systems and ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

The data and AI giant will use its latest capital infusion to accelerate development of its Lakebase database for AI agents and Genie conversational AI assistant. Databricks’ astronomical growth ...

Mastering data engineering with Databricks tools Databricks delivers a comprehensive ecosystem for building, managing, and scaling modern data workflows. Its Lakeflow framework unifies ingestion, ...

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 new Data Intelligence for Cybersecurity, built on the same data lakehouse architecture as the company’s flagship data and AI platform, is designed to help security teams more efficiently ...

Databricks CEO Ali Ghodsi and Nvidia CEO Jensen Huang announced an expansion of their companies’ partnership at the Databricks Data and AI Summit. I was recently back in San Francisco, attending the ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

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