Table of Contents for
Seven Databases in Seven Weeks, 2nd Edition
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Seven Databases in Seven Weeks, 2nd Edition
by Jim Wilson
Published by Pragmatic Bookshelf, 2018
Title Page
Seven Databases in Seven Weeks, Second Edition
Seven Databases in Seven Weeks, Second Edition
Seven Databases in Seven Weeks, Second Edition
Seven Databases in Seven Weeks, Second Edition
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
Seven Databases in Seven Weeks, Second Edition
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