Azure Cosmos DB is Microsoft's globally distributed multi-model database service. It was built from the ground up with global distribution and horizontal scaling across all Azure regions.
Jupyter Notebooks are open-source web applications that allow you to create and share documents that contain live code, equations, visualizations, and narrative text.
In this blog post you will know more about Azure Cosmos DB built-in Jupyter Notebooks, that support all APIs and run within the Azure Cosmos DB accounts.
Here are some important features that will improve your productivity while using the notebooks:
The Azure Cosmos Portal comes with an array of samples for you to use and get started from. These notebooks can be used for demos, trainings, and source for tests and projects. When you open one of them, it is automatically copied to your My Notebooks folder, where you can not only use it, but also customize it, as necessary.
Collaboration is appreciated. If you’d like to contribute a Notebook and potentially have it appear as one of our Sample Notebooks, you can submit a PR on our GitHub page.
With Sample Notebooks you can learn by doing, and today we have options for visualization, Request Units, Indexing, Global Distribution, Stored Procedures, and IoT - AI integration.
Cosmic notebooks are available for all data models and APIs including Cassandra, MongoDB, SQL (Core), Gremlin, and Spark to enhance the developer experience in Azure Cosmos DB. Developers, data scientists, engineers and analysts can use the familiar Jupyter Notebooks experience to run interactive queries, explore and analyze data, and work with machine learning models.
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