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Index
Acknowledgments
Preface
Why a NoSQL Book
Why Seven Databases
What’s in This Book
What This Book Is Not
Code Examples and Conventions
Credits
Online Resources
1. Introduction
It Starts with a Question
The Genres
Onward and Upward
2. PostgreSQL
That’s Post-greS-Q-L
Day 1: Relations, CRUD, and Joins
Day 2: Advanced Queries, Code, and Rules
Day 3: Full Text and Multidimensions
Wrap-Up
3. HBase
Introducing HBase
Day 1: CRUD and Table Administration
Day 2: Working with Big Data
Day 3: Taking It to the Cloud
Wrap-Up
4. MongoDB
Hu(mongo)us
Day 1: CRUD and Nesting
Day 2: Indexing, Aggregating, Mapreduce
Day 3: Replica Sets, Sharding, GeoSpatial, and GridFS
Wrap-Up
5. CouchDB
Relaxing on the Couch
Day 1: CRUD, Fauxton, and cURL Redux
Day 2: Creating and Querying Views
Day 3: Advanced Views, Changes API, and Replicating Data
Wrap-Up
6. Neo4J
Neo4j Is Whiteboard Friendly
Day 1: Graphs, Cypher, and CRUD
Day 2: REST, Indexes, and Algorithms
Day 3: Distributed High Availability
Wrap-Up
7. DynamoDB
DynamoDB: The “Big Easy” of NoSQL
Day 1: Let’s Go Shopping!
Day 2: Building a Streaming Data Pipeline
Day 3: Building an “Internet of Things” System Around DynamoDB
Wrap-Up
8. Redis
Data Structure Server Store
Day 1: CRUD and Datatypes
Day 2: Advanced Usage, Distribution
Day 3: Playing with Other Databases
Wrap-Up
9. Wrapping Up
Genres Redux
Making a Choice
Where Do We Go from Here?
A1. Database Overview Tables
A2. The CAP Theorem
Eventual Consistency
CAP in the Wild
The Latency Trade-Off
Bibliography
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