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

Summary


By now, you are familiar with all the nuts and bolts of Cassandra. We have discussed how the pressure to make data stores to web scale inspired a rather not-so-common database mechanism to come to the mainstream; how CAP theorem governs the behavior of such databases. We have seen that Cassandra shines out among its peers. Then, we dipped our toes into the big picture of Cassandra read and write mechanisms. This left us with lots of fancy terms. Further, we looked into the definition of these words, components that drive Cassandra and their influence on its behavior.

It is understandable that it may be a lot to take in for someone new to NoSQL systems. It is okay if you do not have complete clarity at this point. As you start working with Cassandra, tweaking it, experimenting with it, and going through the Cassandra mailing list discussions or talks, you will start to come across stuff that you have read in this chapter and it will start to make sense, and perhaps you may want to...