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Course Outline

Introduction

  • Comparison of Azure Cosmos DB with Redis and other NoSQL databases
  • Brief overview of Azure Cosmos DB capabilities and architecture

Initial Steps

  • Introduction to NoSQL DB
  • Selecting the appropriate API
  • Establishing Cosmos DB resource models

Data Creation and Administration

  • Developing console, web, and mobile applications
  • Data modeling and partitioning strategies
  • Executing data queries using SQL

Utilizing DB APIs

  • Application of the Cassandra API within Cosmos DB
  • Migrating from MongoDB to the Cosmos DB MongoDB API
  • Graph data modeling via the Gremlin API
  • Utilizing Table APIs for application development

Cost-Effective Optimization of Cosmos DB

  • Partitioning and scaling of containers
  • Global data distribution
  • Cost planning and management
  • Application of rate limits and reserved capacity

Troubleshooting

Summary and Final Thoughts

Requirements

  • Hands-on experience with database management systems
  • Understanding of cloud computing concepts

Target Audience

  • Database administrators
  • Developers
 14 Hours

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