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LinkedIn Learning

Cosmos DB: Import, Manipulate, Index and Query

via LinkedIn Learning

Overview

Take a coding deep dive into development with Azure Cosmos DB, a multi-model database that's globally distributed, and scales remarkably well.

Syllabus

Introduction
  • Welcome
  • What you should know
  • How to use the exercise files
1. Data Import Scenarios
  • Create database
  • Create partitioned collection
  • Create partitioned collection with custom indexing
  • Change collection performance
  • Add typed documents from file
  • Add JSON from file
2. Data Manipulation
  • Simple stored procedure query
  • Import documents with stored procedure
  • Execute ImportDocument stored procedure
  • User-defined functions (UDFs)
  • Trigger
3. Indexing Deep Dive
  • Exclude indexing at document level
  • Manual indexing at collection level
  • Exclude paths from index
  • Force range scan on a hash index
  • Range indexing on strings
  • Alter indexing strategy dynamically
4. Querying
  • Multiple ways to select all
  • Parallel query
  • Query with SQL parameters
  • Query with filter and projection
  • Query with equality and inequality
  • Range operations
Conclusion
  • Teardown video
  • Next steps

Taught by

Chander Dhall

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