Gartner Data and Analytics Summit

March 6-9 • Grapevine, TX

MemSQL Highlights at Gartner Data and Analytics Summit

Theater Session - Monday March 9 at 6:00PM
Creating an IoT Kafka Pipeline in Under 5 Mins

Nikita Shamgunov, MemSQL CTO, will share how to build an Apache Kafka pipeline for an Internet of Things application - all in under 5 mins.

Breakout Session - Tuesday March 10 at 3:45PM
The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics

Nikita Shamgunov, MemSQL CTO, will provide a clear path for Chief Data Officers looking to deliver real-time, predictive analytics in the cloud.

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

Gartner Data and Analytics Summit Event Schedule

Monday, March 6

Welcome Reception: 5:00PM - 7:30PM

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!


Theater Session: 6:00PM - 6:20PM

Creating an IoT Kafka Pipeline in Under 5 mins


Happy Hour: 7:30PM - 9:30PM

Real-Time Networking Cocktail Reception at the Old Hickory Steakhouse - Gaylord Texan Resort, 501 Gaylord Trail

Tuesday, March 7

Booth Hours: 11:30 AM - 8:00PM

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!


Breakout Session: 3:45PM - 4:30PM

The Real-Time CDO and the Cloud-Forward Path to Predictive Analytics - Presented by MemSQL CTO and Co-founder, Nikita Shamgunov


Friends of MemSQL Dinner: 8:30PM

Drop by the MemSQL booth for details

Wednesday, March 8

Booth Hours: 11:30AM - 1:30PM

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!


Analyst Session: 10:30AM - 11:15AM

Delivering on Digital Business with Stream Processing and Real-Time Analytics - Presented by W. Roy Schulte, Gartner Software Analyst

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