Announcing Databricks Runtime for Machine Learning
Databricks is thrilled to announce the Databricks Runtime for Machine Learning, including ready-to-use Machine Learning frameworks, simplified distributed training, and GPU Support. Register...
Accelerating Innovation With Unified Analytics
The AI Dilemma Artificial Intelligence (AI) has massive potential to drive disruptive innovations affecting most enterprises on the planet. However, most enterprises are...
Announcing Databricks Runtime 4.1
We have recently shipped the new Databricks Runtime version 4.1 powered by Apache Spark™. Version 4.1 brings improved performance on read/write from sources...
Benchmarking Apache Spark on a Single Node Machine
Apache Spark has become the de facto unified analytics engine for big data processing in a distributed environment. Yet we are seeing more...
Introducing Databricks Optimized Autoscaling on Apache Spark™
Databricks is thrilled to announce our new optimized autoscaling feature. The new Apache Spark™-aware resource manager leverages Spark shuffle and executor statistics to...