Coursera Plus Annual is 40% Off — Ends June 29.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Microsoft

Design a Data Partitioning Strategy

Microsoft via YouTube

Start learning Write review
Unihackers Ad

Launch Your Cybersecurity Career in 6 Months

Learn More → Coursera Ad

Learn AI, Data Science & Business — Earn Certificates That Get You Hired

Learn More →

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
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

Reviews

Start your review of Design a Data Partitioning Strategy

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.