Five Talks for Solving Big Data Challenges at Strata+Hadoop World

Nicole Nearhood
Nicole Nearhood

Strata+Hadoop World in San Jose kicks-off next week on March 14, offering data engineers and business intelligence professionals a place to gather and learn about the most challenging problems, engaging use cases, and enticing opportunities in data today.

MemSQL will be showcasing real-time data as a vehicle for operationalizing machine-learning, exploring advanced tools including TensorFlow, Apache Spark, and Apache Kafka. We will also be demonstrating the power of machine learning to effect positive change in our keynote: Machines and the Magic of Fast Learning.

See everything we have planned for Strata+Hadoop World including customer talks, events, demos, and giveaways at:

Hand-Picked Talks at Strata+Hadoop World

With over 250 speaking sessions to choose from, deciding the right session to check out at Strata can be a bit overwhelming. To help you out, we have mapped out our top five recommended sessions for the conference:

Tuesday, March 14

Developing a modern enterprise data strategy
Edd Wilder-James (Silicon Valley Data Science), Scott Kurth (Silicon Valley Data Science)
1:30pm–5:00pm Tuesday, March 14, 2017 – Location: 210 B/F
A data strategy should guide your organization in two key areas—what actions your business should take to get started with data and where to start to realize the most value. Edd Wilder-James and Scott Kurth explain how to create a modern data strategy to power data-driven business.

Wednesday, March 15

Real-time analytics at Uber scale
James Burkhart (Uber)
11:00am–11:40am Wednesday, March 15, 2017 – Location: 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.

Going real time: Creating online datasets for personalization
Christopher Colburn (Netflix), Monal Daxini (Netflix)
11:50am–12:30pm Wednesday, March 15, 2017
Christopher Colburn and Monal Daxini explore the challenges faced when building a streaming application at scale at Netflix. Christopher and Monal share their experience with stream processing unbounded datasets in the personalization space. These datasets are both massive and product facing—they directly affect the customer’s personalized experience—which means that the impact is high and tolerance for failure is low.

Thursday, March 16

Machine Learning and Predictive Analytics
Rob Craft (Google)
1:50pm–2:30pm Thursday, March 16, 2017 – Location: 210 B/F
Join Google’s product lead for Cloud Intelligence in a discussion of machine learning and predictive analytics. Rob will discuss how you can leverage the power of ML whether you have a machine learning team of your own or if you just want to use ML as a service.

One cluster does not fit all: Architecture patterns for multicluster Apache Kafka deployments
Gwen Shapira (Confluent)
2:40pm–3:20pm Thursday, March 16, 2017
In the last year, multicluster and cross-data center deployments of Apache Kafka have become the norm rather than an exception. Gwen Shapira offers an overview of several use cases, including real-time analytics and payment processing, that may require multicluster solutions and discusses real-world examples with their specific requirements.

MemSQL Talks at Strata+Hadoop World

We also have a handful of customers speaking at Strata+Hadoop World. MemSQL featured sessions are listed below:

Uber Real-Time Analytics
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.

Building Real-Time Dashboards with Kafka, Web Frameworks, and an In-Memory Database
1:50pm–2:30pm Wednesday, March 15, 2017 – Room LL20 A
Chandan Joarder, Principal Engineer and Raj Sriram, Engineering Manager, Digital Data Engineering at Macy’s will share how to build real-time dashboards using tools such as Kafka, Spark, and an in-memory database.

Building a Real-Time Analytics Engine with Kafka and Spark 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.

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.

Say Hello at the MemSQL Booth #1019

Visit the MemSQL booth #1019, located in the Expo Hall of the San Jose Convention Center, to receive a complimentary copy of the company’s O’Reilly Book: The Path to Predictive Analytics and Machine Learning. While you are there, be sure to grab our latest T-shirt and enter for a chance to win an Estes Proto-X Drone.

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