Developing Planet-Scale Applications in Azure Cosmos DB
This course provides an in-depth look at developing planet-scale applications in Azure Cosmos DB. Attendees will learn how to use the powerful non-relational data storage options of the NoSQL platform to create distributed, multi-model databases that can scale to meet the needs of any application. ▼
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Course Feature
Cost:
Free
Provider:
Edx
Certificate:
No Information
Language:
English
Start Date:
1st Oct, 2019
Course Overview
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Updated in [February 21st, 2023]
[Course Overview]
This course provides an in-depth look at developing planet-scale applications in Azure Cosmos DB, Microsoft's distributed, multi-model database. It covers the broad, global-scale features and capabilities of the platform, as well as the APIs available for storing different kinds of NoSQL data. Learners will gain an understanding of general concepts such as partitioning schemes, global replications, hierarchy, security, and more. They will also learn to develop document, key/value, or graph databases with Cosmos DB using a series of popular APIs and programming models. Finally, learners will explore real-world integrations, visualizations, and analyses, such as Spark Connector, Azure Search, and Stream Analytics.
[Why to Learn]
Azure Cosmos DB is a powerful cloud computing platform that enables developers to build planet-scale applications. It provides a range of features and capabilities that make it an ideal choice for developing NoSQL databases. By taking this course, learners will gain an understanding of the platform and its APIs, as well as the skills to develop document, key/value, or graph databases with Cosmos DB. They will also learn how to integrate, visualize, and analyze data using real-world tools such as Spark Connector, Azure Search, and Stream Analytics.
[Development Paths]
This course is designed for developers who are familiar with NoSQL in Azure and the platform’s powerful non-relational data storage options. Learners should have a basic understanding of cloud computing and database concepts. After completing this course, learners can continue to develop their skills by exploring the various APIs available in Azure Cosmos DB, such as DocumentDB, Gremlin, MongoDB, and Tables. They can also learn more about real-world integrations, visualizations, and analyses, such as Spark Connector, Azure Search, and Stream Analytics.
[Related Learning Suggestions]
Learners who are interested in developing planet-scale applications in Azure Cosmos DB may also be interested in other courses related to cloud computing and NoSQL databases. These include courses on developing applications with Azure, developing applications with MongoDB, and developing applications with Apache Cassandra. Additionally, learners may want to explore courses on data analysis, data visualization, and machine learning.
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