Book Image

Mastering Apache Cassandra 3.x - Third Edition

By : Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj
Book Image

Mastering Apache Cassandra 3.x - Third Edition

By: Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj

Overview of this book

With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application.
Table of Contents (12 chapters)

Summary

Our goals for this chapter included discussing the details behind CQL. This includes its syntax and usage and evolution as a language and comparing some of its capabilities to the well-known SQL of the relational database world. In addition, I have included tips and notes regarding the application of the functionalities covered, as well as how they can be leveraged in certain situations.

One point that should be abundantly clear is that building a good data model is a key part of the foundation to any high-performing, scalable application. The main component of which is the primary key definition. Building your primary keys properly, while taking into account data distribution and appropriate query flexibility, is without a doubt the most important lesson in this chapter, and arguably in this book.

While the next chapters will include more information about performance...