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Course Outline
- Introduction to MongoDB
- Introduction to NoSQL databases
- Reasons for the creation of non-relational databases
- Features of MongoDB
- Advantages and disadvantages of MongoDB
- Technologies and solutions associated with MongoDB
- Using Mongo Shell and Robo 3T
- Basic queries and data structure
- Types of stored data
- Insert
- Save
- Remove
- Update
- Find / FindOne
- Role and properties of query result cursor
- Sorting, skip, limit
- Query selectors
- Creating logical conditions
- Advanced queries
- Data projection mechanism
- $regex
- Operations on arrays and sets
- FindAndModify and $inc operator
- Position operator and ArrayFilter
- Storage Engines
- Overview of internal file storage engines available with MongoDB
- Features, advantages, and disadvantages of the MMAPv1 engine
- Features, advantages, and disadvantages of the WiredTiger engine
- WiredTiger write mechanism (snapshot, checkpoint)
- Comparison of RAM usage by individual engines
- Document Validation
- Creating and modifying simple validators
- Levels of validation
- Validation actions
- Validation using JsonSchema
- Data Modeling
- Best practices for designing models in MongoDB
- Advantages and disadvantages of nested models
- Types and implementation of “relationships”
- Common mistakes
- MapReduce
- What is MapReduce?
- MapReduce query structure
- Mapping function
- Reducing function
- Finalizing function
- Additional options
- Aggregation Framework
- Aggregation Pipeline
- Aggregation query structure
- Aggregation operators
- Selected grouping accumulators
- Splitting arrays using $unwind
- Multi-operations using $facet
- Joining data from different collections using $lookup
- Limitations of the aggregation mechanism
- GridFS
- Storing binary data in MongoDB
- Metadata and chunks
- Using mongofiles
- Reasons for using GridFS
- Indexes in MongoDB
- Defining indexes
- Simple and compound indexes
- Using indexes on nested documents
- Multi-key (array) indexes
- Partial indexes
- Full Text Search
- What is Full Text Search?
- Creating Full Text Search indexes
- Handling stem analysis
- Field weight and sorting by match
- $** operator
- Limitations
- Change streams
- Publish-subscribe pattern
- Subscribing to changes in MongoDB
- Format of returned document
- Replication
- Role of replication in expanding MongoDB capabilities
- Components of a Replica Set
- Failover mechanism and primary node election control
- Role of the arbiter
- Structure and operation principle of oplog
- Administrative commands in the replica set
- Replica Set configuration
- Hidden and delayed node
- Node states
- Desynchronization problems
- Sharding
- Role of sharding in expanding MongoDB capabilities
- Config server
- Query router
- Choosing a shard key
- Data partitioning
- Administrative commands in the cluster
- Cluster configuration
- Administrative and diagnostic tools
- Backup creation strategies (mongodump, mongorestore)
- Diagnostics of Mongo operation (mongostat, mongotop, listing of active operations)
- Replication process monitoring
- (Optional) Client libraries
- JavaDriver
- Driver configuration
- Driver API, BSON handling
- MongoDB + Spring Data
- CSharpDriver
- Driver configuration
- Driver API, BSON handling
- Asynchronous operations
Requirements
- Experience working with MongoDB
- Programming experience is helpful but not required.
Audience
- Database administrators
- Systems administrators
- Operations and devops professionals
28 Hours
Testimonials (1)
Large expertise of the trainer, good contact with people :)
Aleksander Braula - INTEL TECHNOLOGY POLAND SP. Z O. O.
Course - MongoDB zaawansowana administracja
Machine Translated
