NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence
Product Author Bios
Martin Fowler is the author of pioneering software development books such as Refactoring, Patterns of Enterprise Application Architecture, UML Distilled, and Domain-Specific Languages. A world-renowned author and speaker, he has worked in the software industry since the mid-80s. In 2000, he joined ThoughtWorks, where he focuses on better ways to design software systems and improve developer productivity. Pramod J. Sadalage, a ThoughtWorks consultant, has pioneered advanced practices and processes of evolutionary database design and database refactoring since 1999. He speaks widely on these and related topics.
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.
33 of 34 people found the following review helpful
Amazing introduction to NoSQL and scalability,
This review is from: NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (Paperback)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... Read more
42 of 48 people found the following review helpful
Serve the purpose,
This review is from: NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (Paperback)The book serves its purpose. It is a brief guide to NoSQL products. It is the first practitioners' book in many years that I could finish reading within a few days with considerable pleasure. It gives me what I want to know even though I disagree with some of the points in it. The organization of the book is logical, according to the topics that the authors would like to present. Chapters two and three on the complex structures "aggregates" and graphs are the best and essential chapters. From these two chapters, the readers could understand the main points of NoSQL systems.
Regarding the contents,I am surprised by the misuse of the very common terms "relational database" and "RDBMS". Most of the time when the book refers to relational database, it actually means RDBMS (and vice versa). The book (as well as many other NoSQL advocates elsewhere) states that relational databases use ACID transactions and are not good at horizontal fragmentation (sharding) in a distributed... Read more
12 of 13 people found the following review helpful
A Must Read,
This review is from: NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence (Paperback)Seriously I have tried reading up on Mongo,cassandra,Berkley and couch DB for a while.
What always confused me was a comprehensive difference between these Databases and the actual concepts that underline
these databases in General.
The Authors have done a fabulous job on giving an unbiased advice on when and when not to use No SQL databases.
› See all 33 customer reviews...
Online Sample Chapter
Table of Contents
Part I: Understand 1
Chapter 1: Why NoSQL? 3
1.1 The Value of Relational Databases 3
1.2 Impedance Mismatch 5
1.3 Application and Integration Databases 6
1.4 Attack of the Clusters 8
1.5 The Emergence of NoSQL 9
1.6 Key Points 12
Chapter 2: Aggregate Data Models 13
2.1 Aggregates 14
2.2 Key-Value and Document Data Models 20
2.3 Column-Family Stores 21
2.4 Summarizing Aggregate-Oriented Databases 23
2.5 Further Reading 24
2.6 Key Points 24
Chapter 3: More Details on Data Models 25
3.1 Relationships 25
3.2 Graph Databases 26
3.3 Schemaless Databases 28
3.4 Materialized Views 30
3.5 Modeling for Data Access 31
3.6 Key Points 36
Chapter 4: Distribution Models 37
4.1 Single Server 37
4.2 Sharding 38
4.3 Master-Slave Replication 40
4.4 Peer-to-Peer Replication 42
4.5 Combining Sharding and Replication 43
4.6 Key Points 44
Chapter 5: Consistency 47
5.1 Update Consistency 47
5.2 Read Consistency 49
5.3 Relaxing Consistency 52
5.4 Relaxing Durability 56
5.5 Quorums 57
5.6 Further Reading 59
5.7 Key Points 59
Chapter 6: Version Stamps 61
6.1 Business and System Transactions 61
6.2 Version Stamps on Multiple Nodes 63
6.3 Key Points 65
Chapter 7: Map-Reduce 67
7.1 Basic Map-Reduce 68
7.2 Partitioning and Combining 69
7.3 Composing Map-Reduce Calculations 72
7.4 Further Reading 77
7.5 Key Points 77
Part II: Implement 79
Chapter 8: Key-Value Databases 81
8.1 What Is a Key-Value Store 81
8.2 Key-Value Store Features 83
8.3 Suitable Use Cases 87
8.4 When Not to Use 87
Chapter 9: Document Databases 89
9.1 What Is a Document Database? 90
9.2 Features 91
9.3 Suitable Use Cases 97
9.4 When Not to Use 98
Chapter 10: Column-Family Stores 99
10.1 What Is a Column-Family Data Store? 99
10.2 Features 100
10.3 Suitable Use Cases 107
10.4 When Not to Use 109
Chapter 11: Graph Databases 111
11.1 What Is a Graph Database? 111
11.2 Features 113
11.3 Suitable Use Cases 120
11.4 When Not to Use 121
Chapter 12: Schema Migrations 123
12.1 Schema Changes 123
12.2 Schema Changes in RDBMS 123
12.3 Schema Changes in a NoSQL Data Store 128
12.4 Further Reading 132
12.5 Key Points 132
Chapter 13: Polyglot Persistence 133
13.1 Disparate Data Storage Needs 133
13.2 Polyglot Data Store Usage 134
13.3 Service Usage over Direct Data Store Usage 136
13.4 Expanding for Better Functionality 136
13.5 Choosing the Right Technology 138
13.6 Enterprise Concerns with Polyglot Persistence 138
13.7 Deployment Complexity 139
13.8 Key Points 140
Chapter 14: Beyond NoSQL 141
14.1 File Systems 141
14.2 Event Sourcing 142
14.3 Memory Image 144
14.4 Version Control 145
14.5 XML Databases 145
14.6 Object Databases 146
14.7 Key Points 146
Chapter 15: Choosing Your Database 147
15.1 Programmer Productivity 147
15.2 Data-Access Performance 149
15.3 Sticking with the Default 150
15.4 Hedging Your Bets 150
15.5 Key Points 151
15.6 Final Thoughts 152
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