Building Enterprise Solutions with MongoDB Training

Surveying Cluster Topology

• Creating a standalone mongod
• Achieving redundancy with replica sets
• Replicating data with the oplog

Dissecting MongoDB Storage Strategies

• Identifying storage engines
• Improving data safety with journaling
• Investigating record allocation strategies

Storing Large Files with GridFS

• Weighing the advantages and disadvantages of GridFS
• Leveraging the mongofiles utility tool
• Compressing data for economy of drive space

Organizing Data

• Storing data in Databases, collections and documents
• Inserting and updating Documents
• Running scripts from the Mongo Shell

Querying Documents

• Restricting find() with a query document
• Specifying keys for queries to return
• Constraining the number of results with limit and skip

Modeling Relationships

• Express relationships using references
• Embedding sub-documents

Configuring Read and Write Consistency

• Reading from primary and secondary nodes
• Setting the read preference level
• Selecting the Appropriate Write Concern
• Writing with a timeout

Customizing Write Concern and Read Preference

• Applying tags to replicas
• Adding logical names to write concerns
• Reading from a tagged mongod

Improving access speed with indexes

• Investigating a query with the explain() function
• Getting statistics from explain()
• Choosing an index with the hint() function

Considering the cost and benefit of indexing

• Designing a better index
• Opting out of using an index
• Profiling to identify slow queries

Taking advantage of indexes

• Sorting and finding ranges with an index
• Guaranteeing uniqueness with indexes
• Skipping missing fields with a sparse index

Managing collections with special indexes

• Aging data out of a capped collection
• Searching for text fragments with $text
• Deleting documents automatically using time to live indexes
• Permitting queries by location

Leveraging the different modes of the Aggregation Framework

• Invoking single-purpose aggregation functions
• Performing operations with the Aggregation Pipeline framework
• Executing MapReduce on MongoDB