Book Image

Mastering Apache Cassandra

By : Nishant Neeraj
Book Image

Mastering Apache Cassandra

By: Nishant Neeraj

Overview of this book

<p>Apache Cassandra is the perfect choice for building fault tolerant and scalable databases. Implementing Cassandra will enable you to take advantage of its features which include replication of data across multiple datacenters with lower latency rates. This book details these features that will guide you towards mastering the art of building high performing databases without compromising on performance.</p> <p>Mastering Apache Cassandra aims to give enough knowledge to enable you to program pragmatically and help you understand the limitations of Cassandra. You will also learn how to deploy a production setup and monitor it, understand what happens under the hood, and how to optimize and integrate it with other software.</p> <p>Mastering Apache Cassandra begins with a discussion on understanding Cassandra’s philosophy and design decisions while helping you understand how you can implement it to resolve business issues and run complex applications simultaneously.</p> <p>You will also get to know about how various components of Cassandra work with each other to give a robust distributed system. The different mechanisms that it provides to solve old problems in new ways are not as twisted as they seem; Cassandra is all about simplicity. Learn how to set up a cluster that can face a tornado of data reads and writes without wincing.</p> <p>If you are a beginner, you can use the examples to help you play around with Cassandra and test the water. If you are at an intermediate level, you may prefer to use this guide to help you dive into the architecture. To a DevOp, this book will help you manage and optimize your infrastructure. To a CTO, this book will help you unleash the power of Cassandra and discover the resources that it requires.</p>
Table of Contents (17 chapters)
Mastering Apache Cassandra
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

Acknowledgments

It would have been difficult for me to complete this book without the support of a large number of people.

First, I would like to thank the people at BrightContext (http://www.brightcontext.com) for giving me the opportunity to do a lot of experiments with distributed computing and cloud infrastructure, and especially Leo Scott, Arunn Rajagopalan, and Steven Fusco for their technical suggestions.

A lot of credit goes to the online resources that helped me learn about the various technologies in this book. In the context of this book, I would like to acknowledge the people at Cassandra's mailing list, Jonathan Ellis and Christian Hasker of DataStax (http://www.datastax.com/), Aaron Morton of The Last Pickle (http://thelastpickle.com/about.html), Julian Browne (http://www.julianbrowne.com/) for one of the most excellent articles on the CAP theorem, Dave Gardner (http://www.davegardner.me.uk/), and DataStax for their exhaustive documentation.

On a more personal note, my siblings Rashmi, Deepshikha, and Rajat have provided invaluable support during the writing process, tolerating my highs and lows as I put together the final draft on top of an already busy schedule. Thanks to my friends Nihar and Tauseef, who kept me motivated, and thanks to my nieces Pariwa and Kittoo, without whom this book would have been completed a month earlier, but with a lot less fun. Lastly, thanks to my parents for their inspiration.

I'd like to express my gratitude to everyone at Packt Publishing involved in development and production of this book. I'd like to thank Anugya Khurana for keeping me on my toes to make sure things happen as they were scheduled, Anila Vincent, Peter Larsson, and Paul Weinstein for patiently going through the first draft and providing valuable feedbacks.

I am indebted to the FOSS (http://en.wikipedia.org/wiki/Free_and_open-source_software) community for providing excellent tools that are at par with their commercial counterparts. Cassandra is one of the greatest examples of the success of open source. Until the final draft, this book was written using only free and open source software such as Ubuntu, LibreOffice Writer, LibreOffice Draw, Git, VIM, Cassandra, PyCassa, Hadoop, Nagios, and others.