By default, the Databricks SDK for Python initially tries Databricks token authentication (auth_type='pat' argument). If the SDK is unsuccessful, it then tries Databricks Workload Identity Federation ...

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...

Andy Konwinski is pledging $100 million of his own money for a new kind of institute to fund researchers. It's already backed ...

Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Databricks pros and cons Pros of Databricks. Built-in machine-learning capabilities. Helpful online guides for utilizing and navigating the software. Support for R, Java and Python. Cons of Databricks ...

In a statement, Databricks said it had so far secured $8.6 billion of the $10 billion that it was raising. Ali Ghodsi, the chief executive and a founder of Databricks, said the rest of the round ...