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Cost Cutting Strategies for Azure Cosmos DB

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This session explains how Azure Cosmos DB partitions distribute data and route queries, and how indexing policies and index types affect cost and query performance.

Syllabus

Cost Cutting Strategies
Centralized Databases
Cosmos DB Physical Partition
Container with 9000 Request Units Threshold
Scale down to original value 9000 Request Units
Logical Partitions
Cross Partition Queries
Storage
Pagination
Cosmos DB Indexing Modes
Cosmos DB Index Types
Index Usage for String Functions
Exclude or include Properties
Composite Indexes
Index Transformation
Point Read vs Query
Indexing Metrics
Integrated Cache (Public Preview)

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