Design a Data Partitioning Strategy
Offered By: Microsoft via YouTube
Course Description
Overview
Explore advanced data partitioning strategies in this comprehensive 90-minute Learn Live session. Discover techniques for managing relationships between data entities, improving data-model performance through pre-aggregation and denormalization, and maintaining referential integrity using change-feed. Learn to optimize storage and compute by combining entity types in a single container, and practice implementing these concepts through hands-on exercises. Gain valuable insights from industry experts as they guide you through denormalizing data, managing referential integrity, and finalizing data models for enhanced performance and scalability in Azure Cosmos DB.
Syllabus
- Welcome.
- Learning objectives and introduction.
- Denormalize data in your model.
- Manage referential integrity by using change feed.
- Combine multiple entities in the same container.
- Denormalize aggregates in the same container.
- Finalize the data model.
- Exercise: Exercise advanced modeling patterns.
- Knowledge Check.
- Summary and conclusion
.
Taught by
Microsoft Developer
Tags
Related Courses
Cryptography IStanford University via Coursera MongoDB Advanced Deployment and Operations
MongoDB University Developing SQL Databases
Microsoft via edX Six Sigma Tools for Define and Measure
University System of Georgia via Coursera Using clinical health data for better healthcare
The University of Sydney via Coursera