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Sharma - Cassandra Design Patterns

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Sharma Cassandra Design Patterns
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Cassandra Design Patterns: summary, description and annotation

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Understand and apply Cassandra design and usage patterns, and solve realworld business or technical problemsAbout This Book
  • Learn how to identify real world use cases that Cassandra solves easily, in order to use it effectively
  • Identify and apply usage and design patterns to solve specific business and technical problems including technologies that work in tandem with Cassandra
  • A hands-on guide that will show you the strengths of the technology and help you apply Cassandra design patterns to data models
Who This Book Is For

If you are an architect or developer wanting to design real world applications using Cassandra, this book is ideal for you. It would be helpful to have a background in Cassandra or programming concepts, but the book is readable for general users who have experience in any programming language or are aware of RDBMS solutions.

What You Will Learn
  • Understand the key capabilities of Cassandra
  • Identify various business and technical use cases
  • Gain a deeper understanding of Cassandras strengths and weaknesses
  • Design complex big data applications using Cassandra
  • Use Cassandra along with other leading solutions to design complex software to solve real world business problems
  • Start using Cassandra to solve problems that are difficult or impossible to solve in the traditional RDBMS world
In Detail

Cassandra is a powerful data store solution in the open source NoSQL world. The ability to use its vast capabilities correctly is the need of the hour as more developers start using this powerful tool. Hence, it becomes important to be able to understand how and where to apply Cassandra correctly.

This practical guide will help you understand the strengths and weaknesses of Cassandra and teach you to how to identify business and technical use cases that Cassandra solves.You will also learn how to solve real world business problems and enable you to use Cassandra in the best possible way.

Starting with the origins of Cassandra, this book will delve into how Cassandra solves the traditional big datas volume, variety and velocity problems. You will then discover use cases and design patterns that every architect and developer faces when designing new solutions, and understand how to use Cassandra to solve these challenges,as well as how to avoid common mistakes and using Cassandra incorrectly.

The book uses design strategies and code samples in order to help you understand the nuances of the use case and design patterns. Finally, after learning about the design patterns to be used in Cassandra, you will develop an understanding of how Cassandra can be used in conjunction with other leading solutions to solve complex real world problems.

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Cassandra Design Patterns

Cassandra Design Patterns

Copyright 2014 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: January 2014

Production Reference: 1200114

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham B3 2PB, UK.

ISBN 978-1-78328-880-9

www.packtpub.com

Cover Image by Aniket Sawant (<>)

Credits

Author

Sanjay Sharma

Reviewers

William Berg

Mark Kerzner

Acquisition Editors

Pramila Balan

Sam Wood

Commissioning Editor

Sharvari Tawde

Technical Editors

Mario D'Souza

Dennis John

Gaurav Thingalaya

Pankaj Kadam

Copy Editors

Tanvi Gaitonde

Dipti Kapadia

Kirti Pai

Stuti Srivastava

Project Coordinator

Akash Poojary

Proofreader

Simran Bhogal

Indexer

Hemangini Bari

Graphics

Abhinash Sahu

Production Coordinator

Nilesh R. Mohite

Cover Work

Nilesh R. Mohite

About the Author

Sanjay Sharma has been the architect of enterprise-grade solutions in the software industry for around 15 years and using Big Data and Cloud technologies over the past four to five years to solve complex business problems. He has extensive experience with cardinal technologies, including Cassandra, Hadoop, Hive, MongoDB, MPP DW, and Java/J2EE/SOA, which allowed him to pioneer the LinkedIn group, Hadoop India. Over the years, he has also played a pivotal role in many industries, including healthcare, finance, CRM, manufacturing, and banking/insurance. Sanjay is highly venerated for his technological insight and is invited to speak regularly at Big Data, Cloud, and Agile events. He is also an active contributor to open source.

I would like to thank my employer, Impetus and iLabs, and its R&D department, which invests in cutting-edge technologies. This has allowed me to become a pioneer in mastering Cassandra- and Hadoop-like technologies early on.

But, most importantly, I want to acknowledge my family, my beautiful wife and son, who have always supported and encouraged me in all my endeavors in life.

About the Reviewers

William Berg is a software developer for OpenMarket. He helps maintain the Apache Cassandra cluster, which forms part of their internal, distributed file storage solution.

Mark Kerzner holds degrees in Law, Math, and Computer Science. He has been designing software for many years and Hadoop-based systems since 2008. He is President of SHMsoft, a provider of Hadoop applications for various verticals, and a co-founder of the Hadoop Illuminated training and consulting firm, as well as the co-author of Hadoop Illuminated , Hadoop illuminated LLC . He has also authored and co-authored other books and patents.

I would like to acknowledge the help of my colleagues, in particular Sujee Maniyam and last but not the least, my multitalented family.

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Preface

Big Data has already become a buzzword in today's IT world and provides lots of choices for end users. Cassandra is one of the most popular Big Data technologies today and is used as a NoSQL data store to build web-scale applications in the Big Data world.

The idea behind this book is for Cassandra users to learn about Cassandra's strengths and weaknesses and, more importantly, understand where and how to use Cassandra correctly, so as to use its strengths properly and overcome its weaknesses.

One of the most critical decisions taken while writing the book was using the term design pattern to explain Cassandra's where and how usages. Traditionally, design patterns are linked to object-oriented design patterns made popular by Gang of Four (GoF).

However, in the context of this book, patterns refer to general, reusable solutions to commonly recurring software problems and will be used interchangeably for use case patterns, design patterns, execution patterns, implementation strategy patterns, and even applied design patterns.

What this book covers

, An Overview of Architecture and Data Modeling in Cassandra , discusses the history and origins of Cassandra. In this chapter, we understand the parentage of Cassandra in Amazon Dynamo and Google BigTable and how Cassandra inherits the best of the abilities as well as evolves some of its own. The importance of reading this chapter lies in the fact that all the subsequent chapters refer to the capabilities mentioned in this chapter that can be used for solving various business use cases in the real world.

, An Overview of Case and Design Patterns , offers an overview of all the patterns that will be covered in this book.

, 3V Patterns , covers the known 3V or Volume, Velocity, and Variety model associated with Big Data and also how Cassandra fulfills all the requirements for building Big Data applications facing the 3V challenge.

, Core Cassandra Patterns , describes how Cassandra can be used to solve some interesting business problems due to its unique capabilities covering high availability, wide rows, and counter columns.

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