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Course Outline

Advanced Data Manipulations

  • Customizing the Mongo Shell
  • Efficient management of CRUD operations (inserts, queries, updates, deletes)
  • Essential administrative commands

Performance Optimization

  • Leveraging built-in monitoring tools: mongotop and mongostat
  • Analyzing memory usage and I/O performance
  • Utilizing MongoDB Cloud Manager and Munin
  • Identifying inefficient queries through the use of the query profiler
  • Understanding storage engines: MMAPv1 and WiredTiger
  • Working with the explain object

Indexing and Special Collections

  • Managing indexes and understanding MongoDB indexing internals
  • Implementing single-field and compound indexes
  • Creating indexes on arrays and sub-documents
  • Utilizing Geo indexes
  • Configuring capped collections, TTL indexes, and tailable cursors

Aggregation

  • Single-purpose aggregation
  • Constructing aggregation pipelines
  • Introduction to map-reduce

Replication

  • Understanding asynchronous replication in MongoDB
  • Setting up and maintaining replica sets
  • Applying write concern and read preference settings
  • Handling replication failures

Sharding

  • Understanding how auto-sharding operates
  • Setting up a MongoDB shard cluster
  • Strategically selecting a shard key
  • Advanced administration of sharded clusters
  • Managing unbalanced sharded clusters
  • Handling chunks (splitting, merging, migrating)

Security

  • Authentication and authorization within replica sets and sharded clusters
  • Managing privileges and defining custom roles
  • Best practices for secure deployment

Backup and Restore Strategies

  • Filesystem-based strategies
  • Using mongodump and mongorestore
  • Implementing point-in-time recovery

Requirements

Participants should possess a solid understanding of basic and intermediate MongoDB concepts, along with several years of practical, on-the-job experience.

 14 Hours

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