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SkillsCast

Redis as a Multi Model Database for Faster Search, ML Model Serving, Graph Traversal and Much More!

5th July 2018 in London at CodeNode

There are 22 other SkillsCasts available from Infiniteconf 2018 - The conference on Big Data and AI

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711565334 640

Redis modules were introduced in v4.0. A Redis module allows you to define your own data types and commands against those data types, while taking advantage of all the goods Redis already had to offer.

Many modules have matured since then, and he'll walk you through the most interesting once you can leverage in your next generation application. He'll also touch upon some of the lesser know Redis Enterprise features for geo distributed big data sets. (Not to be missed if you find live demo's entertaining)

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Thanks to our sponsors

Redis as a Multi Model Database for Faster Search, ML Model Serving, Graph Traversal and Much More!

Pieter Cailliau

Pieter is part of the Solutions Architect team of RedisLabs based in London. He holds a MSc in Computer Science from Ghent University, where he wrote a distinguished thesis on time-based graph models. Prior to joining RedisLabs, Pieter used to work for Neo4j and was an instanceof Software Engineer at TomTom, the world’s leader in location and navigation software.

SkillsCast

Please log in to watch this conference skillscast.

711565334 640

Redis modules were introduced in v4.0. A Redis module allows you to define your own data types and commands against those data types, while taking advantage of all the goods Redis already had to offer.

Many modules have matured since then, and he'll walk you through the most interesting once you can leverage in your next generation application. He'll also touch upon some of the lesser know Redis Enterprise features for geo distributed big data sets. (Not to be missed if you find live demo's entertaining)

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Redis as a Multi Model Database for Faster Search, ML Model Serving, Graph Traversal and Much More!

Pieter Cailliau

Pieter is part of the Solutions Architect team of RedisLabs based in London. He holds a MSc in Computer Science from Ghent University, where he wrote a distinguished thesis on time-based graph models. Prior to joining RedisLabs, Pieter used to work for Neo4j and was an instanceof Software Engineer at TomTom, the world’s leader in location and navigation software.

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