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Apache Spark Trending in the Stack Overflow Survey

March 22, 2016 by Reynold Xin in
Last week, Stack Overflow released the result of their 2016 developer survey . This is one of the most significant surveys in the...

Apache Spark 2015 Year In Review

To learn more about Apache Spark, attend Spark Summit East in New York in Feb 2016 . 2015 has been a year of...

Announcing Apache Spark 1.6

To learn more about Apache Spark, attend Spark Summit East in New York in Feb 2016 . Today we are happy to announce...

Introducing Apache Spark Datasets

Developers have always loved Apache Spark for providing APIs that are simple yet powerful, a combination of traits that makes complex analysis possible...

Announcing an Apache Spark 1.6 Preview in Databricks

November 19, 2015 by Patrick Wendell, Reynold Xin and Michael Lumb in
Today we are happy to announce the availability of an Apache Spark 1.6 preview package in Databricks. The Apache Spark 1.6.0 release is...

Apache Spark 1.5.1 and What do Version Numbers Mean?

October 1, 2015 by Reynold Xin in
The inaugural Spark Summit Europe will be held in Amsterdam on October 27 - 29. Check out the full agenda and get your...

Apache Spark 1.5 DataFrame API Highlights: Date/Time/String Handling, Time Intervals, and UDAFs

To try new features highlighted in this blog post, download Spark 1.5 or sign up Databricks for a 14-day free trial today...

Announcing Apache Spark 1.5

September 8, 2015 by Reynold Xin and Patrick Wendell in
The inaugural Spark Summit Europe will be held in Amsterdam this October. Check out the full agenda and get your ticket before it...

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...

Statistical and Mathematical Functions with DataFrames in Apache Spark

We introduced DataFrames in Apache Spark 1.3 to make Apache Spark much easier to use. Inspired by data frames in R and Python...