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NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence
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The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational “NoSQL” databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better, and are easier to program.
NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS. The authors provide a fast-paced guide to the concepts you need to know in order to evaluate whether NoSQL databases are right for your needs and, if so, which technologies you should explore further.
The first part of the book concentrates on core concepts, including schemaless data models, aggregates, new distribution models, the CAP theorem, and map-reduce. In the second part, the authors explore architectural and design issues associated with implementing NoSQL. They also present realistic use cases that demonstrate NoSQL databases at work and feature representative examples using Riak, MongoDB, Cassandra, and Neo4j.
In addition, by drawing on Pramod Sadalage’s pioneering work, NoSQL Distilled shows how to implement evolutionary design with schema migration: an essential technique for applying NoSQL databases. The book concludes by describing how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.
Product details
Paperback: 192 pages
Publisher: Addison-Wesley Professional; 1 edition (August 18, 2012)
Language: English
ISBN-10: 0321826620
ISBN-13: 978-0321826626
Product Dimensions:
7 x 1.2 x 9.1 inches
Shipping Weight: 11.2 ounces (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
102 customer reviews
Amazon Best Sellers Rank:
#191,137 in Books (See Top 100 in Books)
I have been trying to learn about the Hadoop/NoSQL world for the last few months, and have found myself getting really frustrated at the lack of a source which presents a clear big picture. No matter where I looked, I was just overwhelmed by minutiae, and the arguments of zillion people advocating their own favorite new technology.No more! The authors of this book present a wonderful, accessible, product-agnostic introduction to the world of NoSQL. The book first covers the four major kinds of NoSQL databases (key-value, document, column family and graph) via a highly practitioner-oriented comparative study. It then goes into various scalability issues and trade-offs, including distribution models, CAP theorem and its implications, an introduction to Map-reduce and so on. This book has demystified much of NoSQL for me and made it seem quite common-sensical.If you are new to the Hadoop-NoSQL world, this is the book to start with before delving into any specific technology or jargon. I think that after this high-level introduction, a deep-dive using a book like 'Seven Databases in Seven Weeks' is a logical next step.
The authors state in the preface that the aim of this book is to give one enough information on whether NoSQL technology makes sense for a given project and if so which tool to explore in more depth. After reading through the book from cover to cover, I think the authors have achieved their goal. The first part of the book is about understanding NoSQL while the second is devoted to implementation. This book is very well written and it's quite an engaging read. Different data distribution models, consistency, transactions are all covered in significant detail in the first half of the book which is a major value add - anyone who has worked in an enterprise application environment can easily relate to the problems and proposed solutions as well as limitations of each. The second half typically focuses on one particular implementation in a given category of NoSQL and shares more detail on how to interact with it as well as when it is (and when it is not) appropriate to use a tool. The chapter on polyglot persistence shows some of the ways in which an organization can leverage multiple tools effectively at the increased cost of complexity, deployment and maintenance. Even though this book is about NoSQL, the authors include a chapter on Beyond NoSQL where file systems, event sourcing and other alternatives are discussed. The book closes out on selecting the tool for a given project by giving some ideas on how to do this while recognizing the immature nature of NoSQL field. This book is a great starting point for anyone with no background in NoSQL. For those who have some experience with NoSQL, the main value addition would be that the information as well as ideas on NoSQL are summarized in a single place.
This book does a good job of explaining NoSQL much better than any web site or blog I have read on the subject. The authors go into just enough detail to describe what NoSQL is, the problems it is designed to address, and how to make the tradeoffs between SQL and NoSQL in a real system.This is a short book: if you want an exhaustive reference, look elsewhere. The stated goal of this book in the preface is to provide a quick overview of NoSQL to include the four types of databases, the overall structure of each, their strengths and weaknesses, to an audience of software developers who understand how to design SQL database schemas and ORM mappings (i.e. you know how database tables correlate with program classes and objects).If you have at least a year of experience with SQL databases, ORM, etc. and need a primer on NoSQL, this is the book for you. If you need an exhaustive reference, detailed information, or an in-depth example of setting up an application with NoSQL, this is NOT the book for you. If you need a quick readme on NoSQL in general to get up to speed for a project, this book will be a good resource. It contains all the essential information and is a short, quick read.
This is, to my surprise, a really solid little book. TLDR; it covers what you need and introduces a mix of formal and common-usage terminology to help you ask the right questions to do something with the information. Highly recommended.Technology books are the bane of my existence - they're expensive, riddled with inconsistent quality of information, and usually out of date before they even reach print. This book is one of those rare exceptions. It clearly shows both academic integrity and has all the right hallmarks of practical usage and experience - and in around 150 pages gets you up to speed, an amazing feat of selective focus for a topic as potentially broad as this. As with quite a few of the Martin Fowler books, it reflects awareness of the industry and history of the technologies at play - useful for getting a flavor for why things are as they are - and Pramod Sadalage has done a good job putting this across.The material builds very quickly from general discussion (what is NoSQL, and what is it not) into defining a set of criteria you can apply (as an architect, technologist, or developer) to understand what might work for your projects and how to begin assessing the cost/benefit/risk associated. The rest of the book is dedicated to providing insight into the behavioral models and key concepts for taking advantage of each of the "NoSQL" options discussed - including where you might want to stick with good old relational database persistence.If you haven't played with NoSQL, are curious about it, or are hitting scalability issues with your database projects, this book provides a wealth of insight and ways to help get you up to speed with the ideas driving the movement. Don't expect to get a tour through the particular implementations of these databases - but from my reading this is more helpful than a hindrance.
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