Apply schema design patterns in Azure DocumentDB

  • Module
  • 7 Units
Intermediate
Developer
Azure Cosmos DB

Apply 10 schema design patterns to solve data modeling challenges in Azure DocumentDB. Organize documents, precompute results, manage arrays, group time-series data, evolve schemas, and archive old data.

Learning objectives

After completing this module, you'll be able to:

  • Apply the inheritance, computed, and approximation patterns to optimize document structure and read/write performance.
  • Use the extended reference and schema versioning patterns to reduce cross-collection lookups and manage schema evolution.
  • Implement the single collection, subset, bucket, outlier, and archive patterns for complex data scenarios.

Prerequisites

  • Familiarity with database concepts such as queries, indexes, and data models.
  • Basic understanding of MongoDB or document-oriented databases.
  • Experience with insert, query, update, and delete operations in Azure DocumentDB or MongoDB.
  • Understanding of data relationship modeling with embedding and referencing strategies.
  • An Azure subscription.
  • An Azure DocumentDB cluster.
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