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

This chapter was designed with a specific goal in mind—that of bridging the knowledge gap between Apache Cassandra DBAs and software developers. Often, developers only have experience with relational databases, and sometimes not even that much.

This chapter was as much about educating developers as it was about providing perspective for the DBAs. That is to say, as a DBA sometimes it is important to see the world through the eyes of your dev team.

We started out in this chapter by covering correct use cases and database selection. Then we began to discover the DataStax Java driver, its behaviors and configurations, and how it interacts with Apache Cassandra.

Finally, we built a series of short programs of increasing complexity. Each program used the same connection class, and iteratively explained how to get from problem definition to program execution.

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