What this book covers

Chapter 1, The RethinkDB Architecture and Data Model, covers the architecture of RethinkDB and data modeling, along with revisiting the concepts of RethinkDB.

Chapter 2, RethinkDB Query Language, covers RethinkDB query language, or ReQL, which is the core and essential learning curve of RethinkDB. ReQL provides various SQL-like features such as join, indexing, and foreign keys, along with document-based storage with NoSQL.

Chapter 3, Data Exploration Using RethinkDB, covers data extraction and loading along with example use cases using ReQL.

Chapter 4, Performance Tuning in RethinkDB, covers various methods and tricks to improve the performance of RethinkDB.

Chapter 5, Administration and Troubleshooting Tasks in RethinkDB, covers failover mechanisms along with example use cases.

Chapter 6, RethinkDB Deployment, covers various options available to deploy RethinkDB on production.

Chapter 7, Extending RethinkDB. This chapter covers the integration of RethinkDB with other products, such as ElasticSearch.

Chapter 8, Full Stack Development with RethinkDB, covers the implementation of full stack JavaScript application using RethinkDB.

Chapter 9, Polyglot Persistence Using RethinkDB, covers complex synchronization application development using RethinkDB.

Chapter 10, Using RethinkDB and Horizon. This chapter covers the RethinkDB-powered framework called Horizon with a demo application.