book

NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence

August 2012

Intermediate to advanced

192 pages

4h 55m

English

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Why Are NoSQL Databases Interesting?What’s in the BookWho Should Read This BookWhat Are the DatabasesAcknowledgments
1.1. The Value of Relational Databases1.2. Impedance Mismatch1.3. Application and Integration Databases1.4. Attack of the Clusters1.5. The Emergence of NoSQL1.6. Key Points
2.1. Aggregates2.2. Key-Value and Document Data Models2.3. Column-Family Stores2.4. Summarizing Aggregate-Oriented Databases2.5. Further Reading2.6. Key Points
3.1. Relationships3.2. Graph Databases3.3. Schemaless Databases3.4. Materialized Views3.5. Modeling for Data Access3.6. Key Points
4.1. Single Server4.2. Sharding4.3. Master-Slave Replication4.4. Peer-to-Peer Replication4.5. Combining Sharding and Replication4.6. Key Points

5.1. Update Consistency5.2. Read Consistency5.3. Relaxing Consistency5.4. Relaxing Durability5.5. Quorums5.6. Further Reading5.7. Key Points
6.1. Business and System Transactions6.2. Version Stamps on Multiple Nodes6.3. Key Points
7.1. Basic Map-Reduce7.2. Partitioning and Combining7.3. Composing Map-Reduce Calculations7.4. Further Reading7.5. Key Points
8.1. What Is a Key-Value Store8.2. Key-Value Store Features8.3. Suitable Use Cases8.4. When Not to Use
9.1. What Is a Document Database?9.2. Features9.3. Suitable Use Cases9.4. When Not to Use
10.1. What Is a Column-Family Data Store?10.2. Features10.3. Suitable Use Cases10.4. When Not to Use
11.1. What Is a Graph Database?11.2. Features11.3. Suitable Use Cases11.4. When Not to Use
12.1. Schema Changes12.2. Schema Changes in RDBMS12.3. Schema Changes in a NoSQL Data Store12.4. Further Reading12.5. Key Points
13.1. Disparate Data Storage Needs13.2. Polyglot Data Store Usage13.3. Service Usage over Direct Data Store Usage13.4. Expanding for Better Functionality13.5. Choosing the Right Technology13.6. Enterprise Concerns with Polyglot Persistence13.7. Deployment Complexity13.8. Key Points
14.1. File Systems14.2. Event Sourcing14.3. Memory Image14.4. Version Control14.5. XML Databases14.6. Object Databases14.7. Key Points
15.1. Programmer Productivity15.2. Data-Access Performance15.3. Sticking with the Default15.4. Hedging Your Bets15.5. Key Points15.6. Final Thoughts