Feb 7-9 • Boston, MA

MemSQL at Spark Summit

June 6-8 - San Francisco, CA

Refresh. Enjoy. Ingest.

You're invited to a real-time gathering on real-time data pipelines!


MemSQL Highlights at Spark Summit East

Speaking Session - Thursday, Feb 9 at 2:00PM
The Fast Path to Building Operational Applications with Spark

In this session, MemSQL CTO, Nikita Shamgunov, will outline architecting real-time data pipelines with the power of Apache Spark and a robust, distributed in-memory database.

MemSQL Happy Hour - Wednesday, Feb 8 from 8:00-10:00PM
Join MemSQL and Spark attendees at Back Bay Social Club on 867 Boylston St.

New O'Reilly Book
Grab our new O'Reilly Book: The Path to Predictive Analytics and Machine Learning

Free Giveaways
Take home a MemSQL giveaways and enter for a chance to win an Estes Proto-X Drone



Spark Summit East 2017 Event Schedule

Wednesday, February 8

BOOTH HOURS: 10:30 AM - 6:00PM

Stop by the MemSQL Booth to grab our new O'Reilly book, see a live demonstration, and enter for a chance to win a drone!


OPENING RECEPTION: 6:00PM - 8:00PM

Free drinks, appetizers, games and giveaways at the MemSQL booth


MEMSQL HAPPY HOUR: 8:00PM - 10:00PM

Join MemSQL and Spark Summit Attendees for appetizers and drinks at Back Bay Social Club on 867 Boylston St.

Thursday, February 9

BOOTH HOURS: 10:40PM - 4:00PM

Stop by the MemSQL Booth to grab our new O'Reilly book, see a live demonstration, and enter for a chance to win a drone!


SPEAKING SESSION: 2:00PM - 2:30PM (ROOM 3)

The Fast Path to Building Operational Applications with Spark - Nikita Shamgunov, MemSQL CTO and Co-Founder

Free O'Reilly Book

Stop by the MemSQL Booth to grab a free copy of our new O'Reilly Book - The Path to Predictive Analytics and Machine Learning.

PDF Download HERE


Learn How To:

Build real-time data pipelines, live dashboards, and machine learning applications

Prepare data pipelines for predictive analytics and machine learning

Apply predictive analytics to real-time challenges

Use techniques for predictive analytics in production

Move from machine learning to artificial intelligence