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

Extracting, transforming, and loading information with Redis

Redis's flexibility and speed make it an ideal candidate for many extract, transform, and load (ETL) processes for both homogeneous data as well as complex and heterogeneous data sources that are becoming increasingly common in the modern organization.

Unlike expensive and proprietary ETL systems, Redis's open source model offers capabilities that even these commercial systems lack, while giving the small and medium-sized enterprise opportunities to improve the flow of their own, constantly growing, and increasingly complex data:

Extract-Transform-Load Processing

Importing data through most Redis clients, even using Redis clients that support transactions and command pipelining, is slow and inefficient due to the penalty of round-trip write and reply from the Redis server to the Redis client. Most clients do not support non-blocking I/O mode and often cannot parse the replies back from the Redis server in a manner that maximizes...