course | MongoDB

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