In this section, we will discuss the different data types MongoDB uses, how they map to the data types that programming languages use, and how we can model data relationships in MongoDB using Ruby, Python, and PHP.
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Section 1: Basic MongoDB – Design Goals and Architecture
- MongoDB – A Database for Modern Web
- Schema Design and Data Modeling
- Section 2: Querying Effectively
- MongoDB CRUD Operations
- Advanced Querying
- Multi-Document ACID Transactions
- Aggregation
- Why aggregation?
- Aggregation operators
- Aggregation stage operators
- Expression operators
- Limitations
- Aggregation use case
- Summary
- Indexing
- Section 3: Administration and Data Management
- Monitoring, Backup, and Security
- Storage Engines
- MongoDB Tooling
- Harnessing Big Data with MongoDB
- Section 4: Scaling and High Availability
- Replication
- Sharding
- Fault Tolerance and High Availability
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