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Mastering Redis

You're reading from   Mastering Redis Take your knowledge of Redis to the next level to build enthralling applications with ease

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781783988181
Length 366 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Vidyasagar N V Vidyasagar N V
Author Profile Icon Vidyasagar N V
Vidyasagar N V
Jeremy Nelson Jeremy Nelson
Author Profile Icon Jeremy Nelson
Jeremy Nelson
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Toc

Table of Contents (13) Chapters Close

Preface 1. Why Redis? FREE CHAPTER 2. Advanced Key Management and Data Structures 3. Managing RAM – Tips and Techniques for Redis Memory Management 4. Programming Redis Part One – Redis Core, Clients, and Languages 5. Programming Redis Part Two – Lua Scripting, Administration, and DevOps 6. Scaling with Redis Cluster and Sentinel 7. Redis and Complementary NoSQL Technologies 8. Docker Containers and Cloud Deployments 9. Task Management and Messaging Queuing 10. Measuring and Managing Information Streams A. Sources Index

Machine learning and Redis


While the hype cycle continues for what is generally called "Big Data", Redis offers numerous ways to actually accomplish some of what the advertising and media is promising to business users and leaders. Besides being a good choice for performing quick-and-dirty loading and manipulation of data, Redis also performs well as a staging platform for data in a transitional mode that is later manipulated towards a final state, depending on the application. Redis use as a datastore in machine learning techniques and approaches helps as an easily malleable store supporting a particular learning algorithm.

This section takes two supervised learning tasks, Näive Bayes and linear regression, to demonstrate different approaches to statistical analysis with Redis as a transitory datastore for intermediate results. For the first example, the dataset is a pre-existing set of 52 MARC21 records for Jane Austen's Pride and Prejudice and Herman Melville's Moby Dick. This dataset...

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