Book: http://pragprog.com/book/rwdata/seven-databases-in-seven-weeks
Blog: http://sevenweeks.org/
Code: https://github.com/sevenweeks/databases
Song: http://sevenweeks.org/post/24891440010/lyrics-to-seven-databases-in-song
Contents
1. Introduction
1.1 It Starts with a Question
1.2 The Genres
1.3 Onward and Upward
2. PostgreSQL
2.1 That’s Post-greS-Q-L
2.2 Day 1: Relations, CRUD, and Joins
2.3 Day 2: Advanced Queries, Code, and Rules
2.4 Day 3: Full-Text and Multidimensions
2.5 Wrap-Up
3. Riak
3.1 Riak Loves the Web
3.2 Day 1: CRUD, Links, and MIMEs
3.3 Day 2: Mapreduce and Server Clusters
3.4 Day 3: Resolving Conflicts and Extending Riak
3.5 Wrap-Up
4. HBase
4.1 Introducing HBase
4.2 Day 1: CRUD and Table Administration
4.3 Day 2: Working with Big Data
4.4 Day 3: Taking It to the Cloud
4.5 Wrap-Up 5. MongoDB
5.1 Hu(mongo)us
5.2 Day 1: CRUD and Nesting
5.3 Day 2: Indexing, Grouping, Mapreduce
5.4 Day 3: Replica Sets, Sharding, GeoSpatial, and GridFS
5.5 Wrap-Up
6. CouchDB
6.1 Relaxing on the Couch
6.2 Day 1: CRUD, Futon, and cURL Redux
6.3 Day 2: Creating and Querying Views
6.4 Day 3: Advanced Views, Changes API, and Replicating
Data
6.5 Wrap-Up
7. Neo4J
7.1 Neo4J Is Whiteboard Friendly
7.2 Day 1: Graphs, Groovy, and CRUD
7.3 Day 2: REST, Indexes, and Algorithms
7.4 Day 3: Distributed High Availability
7.5 Wrap-Up
8. Redis
8.1 Data Structure Server Store
8.2 Day 1: CRUD and Datatypes
8.3 Day 2: Advanced Usage, Distribution
8.4 Day 3: Playing with Other Databases
8.5 Wrap-Up
9. Wrapping Up
9.1 Genres Redux
9.2 Making a Choice
9.3 Where Do We Go from Here
A1. Database Overview Tables
A2. The CAP Theorem
A2.1 Eventual Consistency
A2.2 CAP in the Wild
A2.3 The Latency Trade-Off
