Last week, the details of two industry-wide security vulnerabilities, known as Meltdown and Spectre , were released. These exploits enable cross-VM and cross-process...

We are excited to announce the general availability of Databricks Cache, a Databricks Runtime feature as part of the Unified Analytics Platform that...

This is a community guest blog from Jakub Wozniak , a software engineer and project technical lead at CERN physics laboratory, further expounding...

Big data workloads require access to disk space for a variety of operations, generally when intermediate results will not fit in memory. When...

Today we announced that Amazon has awarded Databricks with the Amazon Web Services (AWS) Machine Learning (ML) Competency status. This designation recognizes Databricks...

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...