Databricks and Microsoft have jointly developed a new cloud service called Microsoft Azure Databricks , which makes Apache Spark analytics fast, easy, and...

This is a joint blog post from Matei Zaharia, Chief Technologist at Databricks and Peter Carlin, Distinguished Engineer at Microsoft. Today at Microsoft...

99% of organizations still struggle to get valuable analytics from their Big Data and achieve the full potential of AI. Today I’m excited...

Introduction As part of Unified Analytics Platform , Databricks Workspace along with Databricks File System (DBFS) are critical components that facilitate collaboration among...

Databricks, the Unified Analytics Platform, has always been a cloud-first platform. We believe in the scalability and elasticity of the cloud so that...

Secure your production workloads end-to-end with Databricks’ comprehensive access control system Databricks offers role-based access control for clusters and workspace to secure infrastructure...

Continuous integration and continuous delivery (CI/CD) is a practice that enables an organization to rapidly iterate on software changes while maintaining stability, performance...

NOTE: Spark 3.0 introduced a new pandas UDF. You can find more details in the following blog post: New Pandas UDFs and Python...

Combining the best of data warehouses, data lakes and streaming For an in-depth look and demo, join the webinar . Today we are...