Faster Stateful Stream Processing in Apache Spark Streaming
Many complex stream processing pipelines must maintain state across a period of time. For example, if you are interested in understanding user behavior...
Deep Learning with Apache Spark and TensorFlow
Neural networks have seen spectacular progress during the last few years and they are now the state of the art in image recognition...
MLlib Highlights in Apache Spark 1.6
To learn more about Apache Spark, attend Spark Summit East in New York in Feb 2016 . With the latest release, Apache Spark’s...
Spark Summit East 2016 Agenda is now available
This February, join the Apache Spark community in New York City at the New York Midtown Hilton for the second annual Spark Summit...
Announcing Apache Spark Essentials for the Public Sector workshop
We are proud to announce Apache Spark Essentials - the first in a series of free technical workshops tailored for the public sector...
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...
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...
The Best of The Databricks Blog: Most Read Posts of 2015
Databricks developers are prolific blog authors when they are not writing code for the Databricks platform or Apache Spark. As 2015 draws to...