MongoDB Fundamentals

Interacting with MongoDB

• Justifying non-relational data stores
• Listing the categories of NoSQL Data Stores
• Defining the MongoDB architecture
• Reviewing the JSON standard
• Enumerating the MongoDB data types
• Querying at the Command Line Interface
• Running Scripts
• Manipulating MongoDB data from Python and Java

Installing MongoDB

• Surveying Cluster Topology
• Creating a standalone mongod
• Achieving redundancy with replica sets
• Replicating data with the oplog
• Identifying storage engines
• Improving data safety with journaling
• Investigating record allocation strategies
• Weighing the advantages and disadvantages of GridFS
• Leveraging the mongofiles utility tool
• Compressing data for economy of drive space

Exploring the MongoDB Data and Query Model

• Storing data in Databases, collections and documents
• Inserting and updating Documents
• Running scripts from the Mongo Shell
• Restricting find() with a query document
• Specifying keys for queries to return
• Constraining the number of results with limit and skip
• Express relationships using references
• Embedding sub-documents

Configuring Replication and Data Consistency

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

Tuning Performance with Indexes

• Investigating a query with the explain() function
• Getting statistics from explain()
• Choosing an index with the hint() function
• Designing a better index
• Opting out of using an index
• Profiling to identify slow queries
• Sorting and finding ranges with an index
• Guaranteeing uniqueness with indexes
• Skipping missing fields with a sparse index
• 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

Utilizing the Aggregation Framework

• Leveraging the different modes of the Aggregation Framework
• Invoking single-purpose aggregation functions
• Performing operations with the Aggregation Pipeline framework
• Executing MapReduce on MongoDB