Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Redis for velocity and volume: Fast data ingest and probabilistic data structures (sponsored by Redi Labs)

Kyle Davis (Redis Labs)
2:00pm–2:40pm Thursday, 09/13/2018
Location: 1A 03/04/05
Average rating: *****
(5.00, 1 rating)

What you'll learn

  • Learn how to use Redis to ingest high-velocity data from large-scale platforms and IoT data collections and store and query data using probabilistic data structures


Redis is known to be the Swiss Army knife of real-time data. Kyle Davis explains how Redis can be used for ingesting high-velocity data from large-scale platforms and IoT data collections as well as for storing and querying data using probabilistic data structures that trade some precision for both higher speed and lower storage requirements. Along the way, Kyle shares examples and a demo of the solution.

This session is sponsored by Redi Labs.

Photo of Kyle Davis

Kyle Davis

Redis Labs

Kyle Davis is the Head of Developer Advocacy at Redis Labs. Kyle has been writing software since the age of 6 and enjoys coding in Node.js, Rust, and occasionally in Python and OCaml. As a database enthusiast, he is interested in in-memory and compute/storage fusions. His research time revolves around probabilistic data structures and full-text search. Kyle holds a Bachelors from the University of Southern Indiana and a Masters from the University of Central Missouri. Kyle lives in Edmonton, Alberta, Canada.