Easier Spark Code Debugging
To try the features mentioned in this blog, sign up for a 14-day free trial of Databricks today . We are excited to...
Apache Spark 1.5 Preview Now Available in Databricks
We are excited to announce that starting today, Apache Spark 1.5.0 is available as a preview in Databricks. Our users can now choose...
Helping the Democratization of Big Data
When we started Databricks, we thought that extracting insights from big data was insanely difficult for no good reason. You almost needed an...
Guest blog: SequoiaDB Connector for Apache Spark
This is a guest blog from Tao Wang at SequoiaDB . He is the co-founder and CTO of SequoiaDB, leading its long-term technology...
Using 3rd Party Libraries in Databricks: Apache Spark Packages and Maven Libraries
In an earlier post, we described how you can easily integrate your favorite IDE with Databricks to speed up your application development. In...
Introducing R Notebooks in Databricks
Apache Spark 1.4 was released on June 11 and one of the exciting new features was SparkR . I am happy to announce...
Announcing SparkHub: A Community Site for Apache Spark
Today, we are happy to announce SparkHub , a service for the Apache Spark community to easily find the most relevant Spark resources...
Guest blog: PMML Support in Apache Spark's MLlib
This is a guest blog from our friend Vincenzo Selvaggio who contributed this feature. He is a Senior Java Technical Architect and Project...
MyFitnessPal Delivers New Feature, Speeds up Pipeline, and Boosts Team Productivity with Databricks
To learn more about how Databricks helped MyFitnessPal with analytics, check out an earlier article in Wall Street Journal (log-in required). We are...
Databricks Launches Second MOOC: Scalable Machine Learning
We have been working in collaboration with professors at UC Berkeley and UCLA to produce two freely available Massive Open Online Courses (MOOCs)...