Eric Frenkiel

Sponsored by


Building Real-Time Data Pipelines through In-Memory Architectures

Date: This event took place live on November 10 2015

Presented by: Eric Frenkiel

Duration: Approximately 60 minutes.

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Hosted By: Ben Lorica

In the business world, the ability to make frequent decisions in an instant offers huge information and intelligence advantages. You can try multiple ideas, correct the bad ones, and react to changes before your competition.

In this webcast we will explore how organizations can build real-time data pipelines to process information at high speed, allowing your enterprise to make and act on decisions faster.

You'll learn:

  • Why in-memory database architectures are the only solution to operating in real-time
  • How to use memory-optimized technologies like Kafka, Spark, and in-memory databases to build real-time pipelines
  • Use cases for real-time workloads, and the value they offer

About Eric Frenkiel, CEO & Co-Founder — MemSQL

Eric Frenkiel co-founded our company and has served as CEO since inception. Before MemSQL, Eric worked at Facebook on partnership development. He has worked in various engineering and sales engineering capacities at both consumer and enterprise startups. Eric is a graduate of Stanford University's School of Engineering. In 2011 and 2012, Eric was named to Forbes' 30 under 30 list of technology innovators.

Ben Lorica, Chief Data Scientist — O'Reilly Media

Ben Lorica is the Chief Data Scientist and Director of Content Strategy for Data at O'Reilly Media, Inc. He has applied Business Intelligence, Data Mining, Machine Learning and Statistical Analysis in a variety of settings including Direct Marketing, Consumer and Market Research, Targeted Advertising, Text Mining, and Financial Engineering. His background includes stints with an investment management company, internet startups, and financial services.