Build a Mobile Gaming Events Data Pipeline with Databricks Delta
How to build an end-to-end data pipeline with Structured Streaming Try this notebook in Databricks The world of mobile gaming is fast paced...
Announcing RStudio and Databricks Integration
At Databricks, we are thrilled to announce the integration of RStudio with the Databricks Unified Analytics Platform. You can try it out now...
Highlights from first expanded Spark + AI Summit
Keynotes show how Unified Analytics (Data + AI) is accelerating innovation Databricks hosted the first expanded Data + AI Summit (formerly Spark Summit)...
Accelerating Discovery with a Unified Analytics Platform for Genomics
Today we are proud to introduce the Databricks Unified Analytics Platform for Genomics. With a unified platform for genomic data processing, tertiary analytics...
Introducing MLflow: an Open Source Machine Learning Platform
Learn more about Managed MLflow on Databricks Everyone who has tried to do machine learning development knows that it is complex. Beyond the...
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...