Discover the power of Azure Cosmos DB for NoSQL through our course “Getting Started with Cosmos DB NoSQL Development (DP-3015)“, designed to equip developers with the essential skills to master NoSQL APIs and SDKs. Learn how to execute queries efficiently, configure resources, and operate with the SDK, while adopting the best strategies for modeling non-relational data and data partitioning.
Whether you are at the stage of being introduced to the fundamentals of Azure Cosmos DB, planning resource requirements, or implementing non-relational data models, our course: Getting Started with Cosmos DB NoSQL Development (DP-3015), will guide you through each step with clarity and precision.
Module 1: Introduction to Azure Cosmos DB for NoSQL
Module 2: Try Azure Cosmos DB for NoSQL
Module 3: Plan Resource Requirements
Module 4: Configure Azure Cosmos DB for NoSQL database and containers
Module 5: Use the Azure Cosmos DB for NoSQL SDK
Module 6: Configure the Azure Cosmos DB for NoSQL SDK
Module 7: Implement Azure Cosmos DB for NoSQL point operations
Module 8: Query the Azure Cosmos DB for NoSQL
Module 9: Author complex queries with the Azure Cosmos DB for NoSQL
Module 10: Implement a non-relational data model
Module 11: Design a data partitioning strategy
Azure Cosmos DB is a cutting-edge NoSQL database offering global scalability, multi-region replication, and minimal latency guarantees. Suited for a variety of applications from IoT services to e-commerce solutions, Azure Cosmos DB for NoSQL stands out for its flexibility and performance. Azure, NoSQL database, and scalability are key terms that define the essence of Cosmos DB.
The operation of Azure Cosmos DB is based on a distributed architecture that allows seamless data replication and high availability. Ideal for applications requiring high responsiveness, Azure Cosmos DB is perfect when low latency and data consistency are critical. Distributed architecture, high availability, and data consistency are crucial aspects to understand.
Azure Cosmos DB provides a plethora of resources to facilitate learning and experimentation. Reviewing basic operations, such as creating and managing documents, is essential for mastering this technology. Document creation, data management, and learning resources play a key role in this phase.
Effectively planning resource needs is crucial to optimizing costs and performance. Understanding the required throughput and evaluating data storage needs are fundamental steps. Configuring Time-to-Live (TTL) for efficient data management is also an important aspect.
The choice between serverless and provisioned throughput directly influences performance and cost. Azure Cosmos DB offers the flexibility to autoscale throughput, thus allowing more efficient resource management. Migrating between standard and autoscale throughput is also a process to master.
Mastering the Azure Cosmos DB SDK is essential for application development. Importing from a package manager, connecting to an online account, and implementing a client singleton are fundamental skills. Configuring connectivity mode and managing connection errors are also crucial.
Point operations on documents, such as creating, reading, updating, and deleting, are common tasks in NoSQL database management. Configuring the Time-to-Live (TTL) for specific documents allows for efficient data lifecycle management.
Using the SQL query language in Azure Cosmos DB, projecting query results, and executing queries via the SDK are essential skills. The ability to author complex queries, paginate query results, and use built-in functions significantly enhances the flexibility and power of applications.
Distinguishing between NoSQL and relational databases, choosing an appropriate partition key, and modeling small lookup entities are critical decisions in designing an application. The data partitioning strategy, denormalization, and managing referential integrity through the change feed are key elements for an efficient and high-performing data architecture.
Combining multiple entities in the same container and denormalizing aggregates can significantly improve performance and reduce costs. Finalizing the data model, taking into account the specific needs of the application and best practices of Cosmos DB, is a crucial step to ensure scalability and efficiency.
Azure Cosmos DB for NoSQL offers a powerful and flexible solution for the development of modern applications requiring high availability, global replication, and efficient management of non-relational data. By deeply understanding the operation, configuration, and best practices related to Cosmos DB, developers and solution architects can fully leverage this technology to build robust and scalable applications.
By integrating Azure Cosmos DB into your data architecture, you not only benefit from exceptional performance and flexibility but also from a platform capable of adapting to the evolving demands of enterprise applications. Whether for developing new applications or optimizing existing systems, Cosmos DB stands as a
top choice for professionals seeking to innovate and excel in the cloud ecosystem.
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