What this book covers
Chapter 1, Introduction to NoSQL, covers the ecosystem of NoSQL. It discusses the evolution of the NoSQL landscape and provides an introduction to the various types of NoSQL and their characteristics.
Chapter 2, Getting Started with Redis, taps into the world of Redis. It also covers areas such as the installation of Redis on various platforms and running a sample program in Java to connect to Redis.
Chapter 3, Data Structures and Communicating Protocol in Redis, covers data structures that are available in Redis and the communicating protocol in Redis. It also covers examples that the user can execute and get a feel of using it. By the end of this chapter, you should have a basic feel of the capabilities of Redis.
Chapter 4, Functions in the Redis Server, takes you from learning commands to the various in-built capabilities of Redis. These capabilities include messaging in Redis, transactions, and the pipeline capabilities in Redis, which have differences between them. The chapter also introduces the users to a scripting language called LUA.
Chapter 5, Handling Data in Redis, focuses on the in-depth data handling capability of Redis. This includes the master-slave arrangement, the way data is stored in Redis, and various options it provides to persist data.
Chapter 6, Redis in Web Applications, is all about positioning Redis in web applications. To make it interesting, there are some example applications, which you can take ideas from, about the wide range of use cases where Redis can be used.
Chapter 7, Redis in Business Applications, is all about positioning Redis in business applications. To expand its applicability further in the Enterprise Solution design landscape, some example applications have been explained from which you can see its versatility.
Chapter 8, Clustering, talks about the clustering capability, how the end user can make use of various patterns in clustering for Redis, and use these patterns accordingly in their solutions.
Chapter 9, Maintaining Redis, is all about maintaining Redis in a production environment.
