RECOGNIZING THE NEED FOR NOSQL DATA STORES

• Justifying non-relational data stores
• Listing the categories of NoSQL Data Stores
• FOCUSING ON MONGODB
• Defining the MongoDB architecture
• Reviewing the JSON standard
• Enumerating the MongoDB data types

INTERACTING WITH MONGODB

• Querying at the Command Line Interface
• Running Scripts
• Manipulating MongoDB data from Python and Java 

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 mongodb

LEVERAGING THE DIFFERENT MODES OF THE AGGREGATION FRAMEWORK

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

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