Book Image

Mastering Redis

By : Jeremy Nelson
Book Image

Mastering Redis

By: Jeremy Nelson

Overview of this book

Redis is the most popular, open-source, key value data structure server that provides a wide range of capabilities on which multiple platforms can be be built. Its fast and flexible data structures give your existing applications an edge in the development environment. This book is a practical guide which aims to help you deep dive into the world of Redis data structure to exploit its excellent features. We start our journey by understanding the need of Redis in brief, followed by an explanation of Advanced key management. Next, you will learn about design patterns, best practices for using Redis in DevOps environment and Docker containerization paradigm in detail. After this, you will understand the concept of scaling with Redis cluster and Redis Sentinel , followed by a through explanation of incorporating Redis with NoSQL technologies such as Elasticsearch and MongoDB. At the end of this section, you will be able to develop competent applications using these technologies. You will then explore the message queuing and task management features of Redis and will be able to implement them in your applications. Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams.
Table of Contents (18 chapters)
Mastering Redis
About the Author
About the Reviewers

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:

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...