Introduction to a Database for the Modern Web

• Born in the cloud
• Key features
• Core server and tools
• Why MongoDB?
• Tips and limitations

MongoDB through the JavaScript Shell

• Using into the MongoDB shell
• Creating and querying with indexes
• Basic administration
• Getting help

Writing Programs

• How the drivers work
• Building a simple application

Document-oriented Data

• Principles of schema design
• Designing an e-commerce data model
• Nuts and bolts: on databases, collections, and documents

Queries and Aggregation

• E-commerce queries
• MongoDB?s query language
• Aggregating orders
• Aggregation in detail

Updates, Atomic Operations, and Deletes

• A brief tour of document updates
• E-commerce updates
• Atomic document processing
• Nuts and bolts: MongoDB updates and deletes

MongoDB Mastery

• Indexing and query optimization
• Indexing theory
• Indexing in practice
• Query optimization

Replication

• Replication overview
• Replica sets
• Master-slave replication
• Drivers and replication

Sharding

• Overview
• A sample shard cluster
• Querying and indexing a shard cluster
• Choosing a shard key
• Sharding in production

Deployment and Administration

• Overview
• Monitoring and diagnostics
• Maintenance
• Performance and troubleshooting

Spatial Indexing Considerations

• Overview
• Advanced queries
• Compound spatial indexes
• Spherical geometry

Installation

• Overview
• Configuration options

Design Patterns

• Overview
• Anti-patterns

Binary Data and GridFS

• Simple binary storage
• GridFS

MongoDB in Java, C#, PHP, and C++

• Java
• C#
• PHP
• C++

Spring Data MongoDB

• Insert document using save() and insert() to save domain objects.
• Update documents using save(), updateFirst() and updateMulti().
• Query documents using findOne(), find() and getCollection().
• Delete documents using remove() and findAndRemove().
• GridFS binary file considerations in Spring Data MongoDB.
• Auto Sequence ID