Data scientists and software engineers work in different ways and use different tools. But both personas will feel more comfortable developing applications in the new version of Databricks Data ...

During its online Data + AI Summit conference, Databricks today unveiled Databricks Machine Learning, a platform that lets data science teams build AI models based on the AutoML framework.

Databricks, the company founded by the creators of the popular Apache Spark project, today announced it has closed $60 million in a Series C funding round led by New Enterprise Associates . Also ...

You will need to have a Databricks account and workspace set up to run the notebooks. To create a free community-edition Databricks account, please follow this link. This will take you to the ...

The new Databricks for Data Engineering edition of the Apache Spark-based cloud platform is optimized for combining SQL, structured streaming, ETL and machine learning workloads running on Spark.

The Databricks solution allows users to make full use of their data by eliminating the silos that can complicate data. Data silos traditionally separate data engineering, analytics, BI, data ...

The collaborative workspace for analytics and data science is now available to Databricks customers via Databricks Partner Connect Analytics on data lakehouse Analytics on data lakehouse SAN ...

While you can accomplish most data science, data engineering, and machine learning tasks in Databricks Lakehouse using notebooks, the command-line interface, and the console interface, you can ...