Using Azure Databricks, customers can take in data ingested through other services, prepare it, and process it using machine learning algorithms and other techniques.

Organizations can improve performance and reduce costs by replacing the stock Databricks Runtime for Machine Learning libraries with versions optimized by Intel. Here’s how to get started.

Data + AI Summit -- Databricks, the Data and AI company, and Microsoft today announced a multi-year early extension of their strategic partnership, underscoring a shared commitment to helping ...

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 ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks ...

New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources NEW YORK — Nov. 15, 2017 — Wednesday at Connect ...

Multiple enterprises are using Databricks' synthetic data API, seeing a significant time reduction to improve agent quality and deployment.

Databricks signs Series K term sheet at a $100 billion valuation to accelerate its AI strategy, expand Lakebase, and fuel ...

Additionally, Databricks and Microsoft will continue to deliver deep integrations between Azure Databricks and the broader Microsoft ecosystem, enabling a unified and streamlined experience.