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Adam Fowler - NoSQL For Dummies

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Adam Fowler NoSQL For Dummies
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Get up to speed on the nuances of NoSQL databases and what they mean for your organization

This easy to read guide to NoSQL databases provides the type of no-nonsense overview and analysis that you need to learn, including what NoSQL is and which database is right for you. Featuring specific evaluation criteria for NoSQL databases, along with a look into the pros and cons of the most popular options, NoSQL For Dummies provides the fastest and easiest way to dive into the details of this incredible technology. Youll gain an understanding of how to use NoSQL databases for mission-critical enterprise architectures and projects, and real-world examples reinforce the primary points to create an action-oriented resource for IT pros.

If youre planning a big data project or platform, you probably already know you need to select a NoSQL database to complete your architecture. But with options flooding the market and updates and add-ons coming at a rapid pace, determining what you require now, and in the future, can be a tall task. This is where NoSQL For Dummies comes in!

  • Learn the basic tenets of NoSQL databases and why they have come to the forefront as data has outpaced the capabilities of relational databases
  • Discover major players among NoSQL databases, including Cassandra, MongoDB, MarkLogic, Neo4J, and others
  • Get an in-depth look at the benefits and disadvantages of the wide variety of NoSQL database options
  • Explore the needs of your organization as they relate to the capabilities of specific NoSQL databases

Big data and Hadoop get all the attention, but when it comes down to it, NoSQL databases are the engines that power many big data analytics initiatives. With NoSQL For Dummies, youll go beyond relational databases to ramp up your enterprises data architecture in no time.

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NoSQL For Dummies Visit wwwdummiescomcheatsheetnosql to view this books - photo 1
NoSQL For Dummies
Visit www.dummies.com/cheatsheet/nosql to view this book's cheat sheet.
  1. Table of Contents
    1. Deciding on Graph or Triple Stores
    2. Deciding on Triples or Quads
    3. Managing Triple Store Structures
Guide
Pages

NoSQL For Dummies Published by John Wiley Sons Inc 111 River Street - photo 2

NoSQL For Dummies

Published by: John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030-5774, www.wiley.com

Copyright 2015 by John Wiley & Sons, Inc., Hoboken, New Jersey

Media and software compilation copyright 2015 by John Wiley & Sons, Inc. All rights reserved.

Published simultaneously in Canada

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions .

Trademarks: Wiley, For Dummies, the Dummies Man logo, Dummies.com, Making Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley & Sons, Inc. and may not be used without written permission. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc. is not associated with any product or vendor mentioned in this book.

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Library of Congress Control Number: 2014954658

ISBN 978-1-118-90574-6 (pbk); ISBN 978-1-118-90562-3 (epub); ISBN 978-1-118-90578-4 (epdf)

Introduction

I love NoSQL both as a movement and as a technology. Its a fast-paced, constantly changing area. Barely a week goes by without a new NoSQL database being created to handle a specific real-life problem.

As a movement, NoSQL is interesting in that it started wholly independently of any commercial organization. In fact, it was the brainchild of interested individuals who grouped together and shared ideas. Some core ideas certainly came from large commercial organizations, including the Bigtable paper from Google and the key-value store paper from Amazon, but NoSQL was popularized as open source.

The normal process in software development is that several commercial companies form and compete with one another and gradually the field narrows. Then, once the remaining companies prove their worth, theyre gobbled up by big boys like Oracle, IBM, and Microsoft. Open-source alternatives appear only during the later phases of this cycle.

Thats not the case with NoSQL. Sure, there were a few early commercial players (very early in MarkLogics case way back in 2001). However, the majority of publicly available NoSQL products were created in the open before companies incorporated them into their commercial products.

This book encourages a practical approach to evaluating NoSQL as a set of technologies and products. The book tells you how to determine which ones might meet your needs and how select the most appropriate ones. This information enables you to spot business and technical problems that NoSQL databases can solve.

After reading this book, not only will you be able to identify which type of NoSQL database to use, but perhaps more importantly, youll know the questions to ask vendors about their software and services prior to purchasing one.

This book discusses NoSQL in terms of real-life, complex mission-critical applications. Understanding complex enterprise applications allows you to see the flaws and benefits of each NoSQL database, and within contexts similar to the ones you see in your workplace.

This book guides you through this exciting area of technology and highlights how you and your organization can achieve similar benefits to those described. I hope you enjoy the journey!

Foolish Assumptions

My main aim for the book is to expose many NoSQL databases and point out their common features and specific use cases.

My other aim is to point out that NoSQL databases are ready for the big time! I have gone to pains to point out where things can be configured to support this, or where gaps still exist in offerings.

I hope that large enterprises that have not yet widely adopted NoSQL will be reassured by this book. I also hope that it will act as a call to action to NoSQL database vendors in hardening their offerings to support the key needs of each business sector and use cases in such systems.

As this book is considering enterprise classes of problems, I have to be aware of things like long-term development plans, resilient systems, support, and availability of services.

Ive chosen to cover the following NoSQL databases (plus one search engine):

  • Riak: A key-value store
  • MongoDB: An aggregate (document) database that primarily stores JSON
  • Apache Cassandra: A column store (Bigtable clone)
  • Neo4j: A triple and graph store
  • MarkLogic Server: Primarily stores XML documents, also JSON, binary, text. Also provides in memory column indexes, a triple store and a search engine
  • Redis: An in-memory only key-value store
  • Elasticsearch: An Open Source search engine used with many NoSQL databases

I was keen to give a background to a breadth of databases in this book. I also needed to make sure I wasnt covering the same subject multiple times. I decided to cover one database that primarily manages each data type (document, keys/values, column/tables, triple/graph).

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