Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Mastering Redis

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

Arrow left icon
Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781783988181
Length 366 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Vidyasagar N V Vidyasagar N V
Author Profile Icon Vidyasagar N V
Vidyasagar N V
 Nelson Nelson
Author Profile Icon Nelson
Nelson
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Mastering Redis
Credits
About the Author
About the Reviewers
www.PacktPub.com
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 Sources Index

Summary


This chapter started with a survey of data storage technologies, starting with the most popular, a relational database system supporting SQL. From the relational databases, we examined document datastores focusing on MongoDB with BSON documents. Following document datastores, graph databases were briefly examined finishing with full-text search and key-value data-storage, highlighting Redis. We finished the survey by examining wide column datastores.

Four detailed examples of using Redis as a complement were demonstrated with an experiment using MongoDB to store usage data verses Redis and the performance and reduction in complexity of the application using Redis for analytics in a hypothetical MARC21 catalog. The second example explored using Redis as preprocessor for deduplicating BIBFRAME RDF graphs using the Linked Data Fragments Server as a transitory datastore. The third example showed Redis and the Linked Data Fragments Server complement the Graph Linked Data Platform combination...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £13.99/month. Cancel anytime
Visually different images