Free beer, pizza, swag & lots more!

Tague Griffith, Head of Developer Advocacy, Redis Labs

A Database Month event http://www.DBMonth.com/database/redis

In this action-packed session we will look at how Redis 4.0 & the Redis-ML module can be used out of the box to provide a real-time decision making service. Using Apache Spark, we will implement a machine learning pipeline & discuss the types of predictive models (decision trees, regressions, etc.) that are supported by Redis-ML.

You will also learn how to load Spark models into Redis using the available toolkit, & how to implement real-time decision making.

Making real-time decisions using predictive models is one of the key obstacles in successfully deploying a machine learning strategy. Building customer services to support reliable real-time decision making with scale can be a monumental challenge; by the end of this fun-filled session you will be empowered to architect such systems with ease & confidence.

Tague Griffith, Head of Developer Advocacy, Redis Labs

Tague Griffith, Head of Developer Advocacy atRedis Labs, has over 20 years of experience in Silicon Valley as a software engineer & architect building large scale distributed systems & infrastructure. He currently heads up the developer relations & advocacy program at Redis Labs.

Prior to joining Redis Labs, Tague held positions with Apple, Netscape, Yahoo/Flickr & GoPro. He has a BS & MS in Computer Science from Stanford University with a specialization in database systems.

Swag giveaway + food/drinks at 6:30pm
Power-Networking at 6:35pm
Presentation starts at 6:40pm

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