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Introducing Redshift Data Source for Spark

October 19, 2015 by Sameer Wadkar and Josh Rosen in
This is a guest blog from Sameer Wadkar, Big Data Architect/Data Scientist at Axiomine. The Spark SQL Data Sources API was introduced in...

Interactive Audience Analytics With Apache Spark and HyperLogLog

October 13, 2015 by Eugene Zhulenev in
This is a guest blog from Eugene Zhulenev on his experiences with Engineering Machine Learning and Audience Modeling at Collective. At Collective, we...

Spark Survey 2015 Results are now available

We ran the Spark Survey 2015 this summer to gain insights on how organizations are using Apache Spark. The results of this year’s...

Easier Spark Code Debugging

September 23, 2015 by Chaoyu Yang in
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

August 18, 2015 by Reynold Xin and Michael Lumb in
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

August 5, 2015 by Ali Ghodsi in
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

August 3, 2015 by Tao Wang in
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

July 28, 2015 by Burak Yavuz in
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

July 13, 2015 by Hossein Falaki in
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

July 10, 2015 by Denny Lee in
Today, we are happy to announce SparkHub , a service for the Apache Spark community to easily find the most relevant Spark resources...