Data indexed over a time is very common, however unless modeled correctly, this data can be locked up in ways that prevent both useful analysis and high performance query and ingest. In this webinar, we will go over common time series problems and then examine how to solve them with the Redis TimeSeries module. You will see examples of the commands and how they can be used for analysis, query and ingest.
|June 13, 2019 | 11:00 am
|Kyle Davis, Head of Developer Advocacy
Kyle Davis is the Technical Marketing Manager at Redis. Aside from crafting code in Rust or Node.js, he presents and writes about Redis. Kyle lives in Edmonton, Alberta, Canada.