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Course Outline

Working with Documents

  • Queries
  • Insertion
  • Updates
  • Deletion
  • Upserts
  • Removing databases, fields, and other objects

Document Architecture

  • Data types
  • References
  • Identifiers (ID)
  • Keys
  • Embedded sub-documents
  • Tree structures
  • Tailable cursors
  • Two-phase commits
  • Auto-incrementing sequence fields

Aggregation

  • Distinct values
  • Aggregation pipelines
  • Map-reduce

Indexes

  • Default _id index
  • Single-field index
  • Compound index
  • Multikey index
  • Geospatial index
  • Hashed index
  • Unique constraints
  • Sparse indexes

Requirements

Familiarity with a programming language (such as Java, PHP, C#, or any other MongoDB-compatible language)

 14 Hours

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