As Microsoft Distinguished Engineer and General Manager Dharma Shukla notes, “Azure Cosmos DB is built to power today’s IoT and mobile apps, and tomorrow’s AI-hungry future.” Whether you’re a garage startup or a large enterprise, this fully managed service will change the way you work with nonrelational databases forever! Azure Cosmos DB, the distributed, multi-model database platform from Microsoft, transparently replicates your data wherever your users are—and you don’t need to stand up servers, configure machines, set up network connections, build out clusters, or manage at scale. Simply plug and play, and Azure does all the heavy lifting for you.

Want to migrate to Azure Cosmos DB from your existing platform? Easy. You don’t even have to rewrite any code. Just change your connection stream, point to Azure Cosmos DB, and scale as appropriate, using any protocol you want, including Gremlin or MongoDB. And it’s designed so that as other programming APIs arrive on the scene, the Azure Cosmos DB engine can grow and adapt to new nonrelational ways to store and work with data.

Ready for a comprehensive look? Join a team of experts, including Pete Harris, Sidney Andrews, Andrew Liu, Denny Lee, and Govind Kanshi, for Developing Planet-Scale Applications in Azure Cosmos DB, a new course that becomes available on September 12. Get an in-depth exploration of everything you need to know to put a production application on the service. Begin with fundamentals and general concepts, including replication, partitioning schemes, security, and administrative tasks. Learn to create databases and collections, and then see how to manage and secure the data. Plus, find out how to give access to others, as appropriate, and replicate your data on a global scale.

Plan to spend two or three hours a week over four weeks, as you learn to develop document, key/value, or graph databases with Cosmos DB using a series of popular APIs and programming models. Work with API specifics for DocumentDB, Gremlin, MongoDB, and Tables, and conclude with a look at real-world integrations, visualizations, and analyses, such as Spark Connector, Azure Search, Stream Analytics.

Skill up for the future of nonrelational database services with this deep dive into Azure Cosmos DB.

Course outline:

  • Azure Cosmos DB core features & capabilities
  • Store high performance key-value data using the Tables API
  • Develop flexible data models with the DocumentDB API
  • Build graph databases with the Gremlin API
  • Leverage existing ecosystems using the MongoDB API
  • Integrate Azure Cosmos DB with other data services

Register today!