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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

Redis as an analytics complement to MongoDB

As one of the most popular NoSQL data storages, MongoDB, is classified as a document store where the data is organized around manipulation and searching a variant of JSON-based documents called BSON (short for binary serialized object notation). MongoDB, the Mongo name is extracted from the word humongous, was started by the MongoDB Inc. company in 2007 and was released under an open source license in 2009. MongoDB is still sponsored and developed by MongoDB Inc with customers having the option to purchase enterprise support and hosting for MongoDB from the company:

Redis as an analytics complement to MongoDB

MongoDB Document Store

As a document-oriented data storage, MongoDB stores BSON objects instead of having rows and tables like a relational database. MongoDB does not provide a way to formally join different documents together nor does it support atomic transactions on multiple documents where all operations are guarantee to be executed. MongoDB does provide secondary indexes to improve...

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