Redis as a Time Series Database
Details
Update: New venue at Nextspace in Culver City
Topic: "Redis as a Time Series Database"
Description: With so many data structure choices, time series analysis in Redis can be confusing. Eliminate the confusion and join us for an evening as Dr. Josiah Carlson talks about organizing and structuring data in Redis as a time series database for fast access and analytics. Implementation advice and structure details for real-time and batch processing analytical workloads will be discussed.
Speaker: Dr. Josiah Carlson (http://www.dr-josiah.com) @dr_josiah (https://twitter.com/dr_josiah), VP of Technology at Openmail, Author of "Redis in Action (https://redislabs.com/academy/redis-in-action)"
Speaker Bio: As a seasoned startup veteran, Josiah recognized the value and purpose of Redis after being introduced to Salvatore's work in 2010. Compelled to use, abuse, and help others understand the nuances of documented and undocumented Redis features, he eventually went on to write "Redis in Action" while building the technology for his previous startup (which makes significant use of Redis, of course). Some of this work resulted in the release of related open source libraries that utilize Redis, and he continues to answer questions on the mailing list, as well as periodically blogging about Redis and other topics.
Dr. Josiah Carlson currently resides as VP of Technology at Openmail, an early stage startup in Los Angeles, and is happy to tell you how Redis could be your answer to some of your company's problems.
Schedule:
6:30 pm Food, Drinks sponsored by Redis Labs (http://www.redislabs.com)
7:00 pm Welcome and Introductions
7:15 pm "Redis as a Time Series Database" by Dr. Josiah Carlson (http://www.dr-josiah.com)
8:30 pm Q&A
Venue:
Nextspace (Google Map (https://goo.gl/maps/r21H4kRYods))
9415 Culver Blvd
Culver City, CA 90232
Recommended Parking:
Culver Parking Garage (Google Map (https://goo.gl/maps/GFuadk752q42))
3846 Cardiff Ave
Culver City, CA 90232
Food and Drinks Sponsored by:
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Redis as a Time Series Database