March 13-16 • San Jose Convention Center • Booth #1019

BOOK A DEMO

Featured Speaking Sessions at Strata+Hadoop World

Book a MemSQL Demo at Strata+Hadoop World

Strata+Hadoop World Event Schedule

Tuesday, March 14

MemSQL Customer Session: 9:30am - Room LL20 A

Building a Real-Time Data Science Service for Mobile Advertising - Robin Li, Director of Data Engineering and Yohan Chin, VP Data Science at Tapjoy


Opening Reception: 5:00PM - 6:00PM

Stop by the MemSQL Booth #1019 to grab our new O'Reilly book, see a live demonstration, and enter for a chance to win a drone!


Solutions Showcase Session: 5:45PM - 5:55PM

Scoring Machine Learning Models at Scale (Booth #1609) - John Bowler, MemSQL Engineer


Happy Hour: 6:30PM - 8:30PM

Join us for Happy Hour at Affinity Restaurant, immediately following the Strata Opening Reception

Wednesday, March 15

Keynote: 10:10 AM

Machines and the Magic of Fast Learning - Eric Frenkiel, MemSQL CEO and Co-Founder


Booth Hours: 10:30 AM - 7:05PM

Stop by the MemSQL Booth #1019 to grab our new O'Reilly book, see a live demonstration, and enter for a chance to win a drone!


MemSQL Customer Session: 11:00am–11:40am, Room LL20 B

Real-Time Analytics at Uber-scale - James Burkhart, Senior Software Engineer at Uber


MemSQL Customer Session: 1:50pm–2:30pm, Room 210 D/H

Redefining online retail in real time with Kafka and Spark - Chandan Joarder, Principal Engineer at Macy’s


Booth Crawl: 5:50PM - 6:50PM

Free drinks, appetizers, games and giveaways at the MemSQL booth #1019

Thursday, March 16

Booth Hours: 10:30PM - 4:35PM

Stop by the MemSQL Booth #1019 to grab our new O'Reilly book, see a live demonstration, and enter for a chance to win a drone!


Live Demonstrations: 1:00PM - 4:00PM

See live demonstrations of IoT and machine learning applications, powered by MemSQL

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

Real-Time Analytics at Uber-scale

11:00am–11:40am Wednesday, March 15, 2017 - Room LL20 B

James Burkhart, technical lead on real-time data infrastructure at Uber, will showcase how Uber is supporting millions of analytical queries daily across realtime data.

Speaker: James Burkhart, Senior Software Engineer at Uber

Building Real-time Dashboards with Kafka, Web Frameworks, and an In-memory Database

1:50pm–2:30pm Wednesday, March 15, 2017 - Room 210 D/H

Chandan Joarder, Principal Engineer and Raj Sriram, Digital Data Engineering Manager at Macy’s, will share how to build real-time dashboards using tools such as Kafka, Spark, and an in-memory database.

Speaker: Chandan Joarder, Principal Engineer and Raj Sriram, Engineering Manager, Digital Data Engineering

Building a Real-Time Data Science Service for Mobile Advertising

9:30am–10:00am Tuesday, March 14, 2017 - Room LL20 A

Robin Li, Director of Data Engineering and Yohan Chin, VP Data Science at Tapjoy will share how to architect the best application experience for mobile users using technologies including Apache Kafka, Apache Spark, and MemSQL.

Speaker: Robin Li - Director of Data Engineering, Tapjoy and Yohan Chin - VP Data Science, Tapjoy

Machines and the Magic of Fast Learning

Keynote: 10:10am Wednesday, March 15, 2017 - Grand Ballroom

Eric Frenkiel, cofounder and CEO of MemSQL, will walk through advanced tools including TensorFlow, Spark, and Kafka, as well as compelling use cases demonstrating the power of machine learning to effect positive change.

Speaker: Eric Frenkiel, CEO and Co-founder of MemSQL