Azure Cosmos DB Fundamentals: Designing Scalable NoSQL Databases
Learn to design, partition, and query highly scalable databases with Azure Cosmos DB to power modern cloud-native applications.
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Tungkol sa kursong ito
Modern cloud applications require databases that can scale globally, handle massive traffic, and respond in single-digit milliseconds. Azure Cosmos DB is the leading fully managed NoSQL database service built to meet these demanding requirements. This text-based course guides you from absolute database beginner to confidently designing, querying, and managing your own Cosmos DB instances.
Through clear written explanations and practical code snippets, you will master the core concepts of NoSQL data modeling and database management. You will learn how to structure your data for optimal performance and implement modern cloud database patterns that scale efficiently.
What you'll learn:
- Understand core NoSQL concepts and how Azure Cosmos DB manages global distribution
- Design efficient data models using partitioning and indexing strategies to optimize costs and performance
- Query data effectively using the SQL API and manage documents programmatically
- Implement change feed patterns to build reactive, event-driven database architectures
- Configure database security, consistency levels, and replication for production readiness
- Integrate vector search capabilities for modern AI and retrieval-augmented generation patterns
You will start with foundational cloud database terminology and core architectures before moving step-by-step through data modeling, partitioning strategies, and querying techniques. This course is designed for software developers, data engineers, and cloud architects who are new to NoSQL or Cosmos DB, with no prior experience required. Start reading today to build fast, scalable, and resilient cloud-native databases.
Ang makukuha mo
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Certificate ng pagtatapos
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Personal na AI tutor
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Lifetime access
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Telepono o computer
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14-day refund
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Maikli at focused
2 oras 54 min ng practical content
Mga Review
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