Skip to main content
<
Page 8
>

Introducing Databricks Community Edition: Apache Spark for All

February 17, 2016 by Ion Stoica and Matei Zaharia in
As developers at heart, we at Databricks are committed to the development of Apache Spark and the continued growth of the community. Today...

Databricks 2015 Year In Review: Democratizing Access to Data

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

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...

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...

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...

Diving into Apache Spark Streaming's Execution Model

With so many distributed stream processing engines available, people often ask us about the unique benefits of Apache Spark Streaming . From early...

Databricks is now Generally Available

June 15, 2015 by Ion Stoica and Matei Zaharia in
We are excited to announce today, at Spark Summit 2015 , the general availability of the Databricks – a hosted data platform from...

Deep Dive into Spark SQL's Catalyst Optimizer

Check out the Why the Data Lakehouse is Your Next Data Warehouse ebook to discover the inner workings of the Databricks Lakehouse Platform...

Apache Spark Turns Five Years Old!

March 31, 2015 by Matei Zaharia in
Today, we’re celebrating an important milestone for the Apache Spark project -- it’s now been five years since Spark was first open sourced...

Apache Spark: A review of 2014 and looking ahead to 2015 priorities

February 13, 2015 by Patrick Wendell and Matei Zaharia in
2014 has been a year of tremendous growth for Apache Spark. It became the most active open source project in the Big Data...