Enhance Your Apache Spark Skills

Join more than 1,500 engineers, analysts, scientists, and business professionals for three days of in-depth learning and networking.

With over 70 sessions and six tracks to choose from, there’s content for every level and role.


  • Structured Spark, Spark Streaming, and related projects.
  • The future of Apache Spark.
  • How to use the Spark stack in a variety of applications.
  • Best practices for deploying Spark at Scale.
  • Use cases from leading organizations solving Big Data problems.

Apache® Spark™ is a powerful open source processing engine built around speed, ease of use, and sophisticated analytics. It was started at UC Berkeley in 2009 and is now developed at the vendor-independent Apache Software Foundation. Since its release, Spark has seen rapid adoption by enterprises across a wide range of industries. Internet powerhouses such as Yahoo, eBay and Netflix have deployed Spark at massive scale, processing multiple petabytes of data on clusters of over 8,000 nodes. Apache Spark has also become the largest open source community in big data, with over 1000 contributors from 250+ organizations.

Day 1: Spark Training

A 3-day registration pass includes one full day of Apache Spark training from Databricks.

Classes offered at Spark Summit East 2017:

Data Science with Apache Spark
for data scientists

Exploring Wikipedia with Apache Spark
for advanced Spark developers


Visit the Training Page

Days 2 and 3: Main Conference

Spark Summit has something for everyone, from developers and data scientists to researchers and business executives.

Find out what’s in store for:

Developer Day
February 8

Who it’s for:

  • Apache Spark Developers
  • Data Scientists
  • Infrastructure or Site Reliability Engineers
  • Researchers

Why you should attend:

  • Learn what’s ahead for the open source Spark project.
  • To hear from Spark committers on performance and memory optimization.
  • To see how others deploy Spark at scale.
  • To learn how data scientists deploy in R and discover machine learning at scale.
  • To hear researchers share their knowledge about spatial analyses and GPU support in Spark.

Enterprise Day
February 9

Who it’s for:

  • Data Practitioners
  • Key Decision Makers
  • Business Executives

Why you should attend:

  • To learn how Apache Spark is deployed in enterprises and best practices.
  • To find out how Spark is employed in a variety of applications.
  • To hear how leading enterprise Spark users solve business problems.


Ticket Type Early Bird
(Before Dec 6th)
(After Dec 6th)
Conference Only $925 $1,125
Conference + Training $1,525 $1,725
Register Now