In Azure Databricks, a workspace is an Azure Databricks deployment in the cloud that functions as an environment for your team to access Databricks assets. Your organization can choose to have either ...

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. Getting the ...

Databricks AI Runtime (AIR) is now Generally Available (GA), helping teams train and fine-tune models faster on serverless NVIDIA GPUs without the complexity of managing GPU infrastructure. AIR ...

October 26, 2026For those who want to organize the differences between ML Runtime, AutoML, and feature tables through 100 ...

Many organizations today register their data in Unity Catalog within Azure Databricks. A mirrored Unity Catalog in Fabric enables customer to read data managed by Unity Catalog from Fabric workloads.

Data analytics developer Databricks Inc. today announced the general availability of Databricks Model Serving, a serverless real-time inferencing service that deploys real-time machine learning models ...

This book is a technical guide designed not just to "know" about ontologies, but to "understand them through hands-on ...

Databricks Inc. and Anthropic PBC said today that they have entered a five-year partnership to make Anthropic’s Claude large language models and services available on the Databricks Data Intelligence ...

Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...