Book Image

Mastering RethinkDB

By : Shahid Shaikh
Book Image

Mastering RethinkDB

By: Shahid Shaikh

Overview of this book

RethinkDB has a lot of cool things to be excited about: ReQL (its readable,highly-functional syntax), cluster management, primitives for 21st century applications, and change-feeds. This book starts with a brief overview of the RethinkDB architecture and data modeling, and coverage of the advanced ReQL queries to work with JSON documents. Then, you will quickly jump to implementing these concepts in real-world scenarios, by building real-time applications on polling, data synchronization, share market, and the geospatial domain using RethinkDB and Node.js. You will also see how to tweak RethinkDB's capabilities to ensure faster data processing by exploring the sharding and replication techniques in depth. Then, we will take you through the more advanced administration tasks as well as show you the various deployment techniques using PaaS, Docker, and Compose. By the time you have finished reading this book, you would have taken your knowledge of RethinkDB to the next level, and will be able to use the concepts in RethinkDB to develop efficient, real-time applications with ease.
Table of Contents (16 chapters)
Mastering RethinkDB
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Introducing Polyglot Persistence


In 2006, Neal Ford coined the term called Polyglot programming, which in short tells you to use different programming languages which are best suited to solve a specific problem instead of trying to solve all problems using a single programming language. He suggested that there are different programming languages which are best suited for particular things, such as Java for data processing, Erlang for functional programming, and so on.

As the field of databases is growing, we have lots of different databases to solve different kinds of problems.

For example, SQL is still suited for user-based applications such as Quora, NoSQL is suited for large-batch processing and analytics such as Hadoop, and real-time databases such as RethinkDB are suited for building interactive real-time applications.