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Azure Cosmos DB now has support for integrated Jupyter notebooks

At Build 2017, Microsoft introduced Azure Cosmos DB as a NoSQL database service with multiple models and multiple APIs. All Azure DocumentDB subscribers have been upgraded to Cosmos DB at this point. Last year, a major UI upgrade was introduced in the form of a new Cosmos DB Explorer for the cloud service.

Today Microsoft announced that Jupyter integrated notebooks are now generally available in Cosmos DB. A preview of this feature was released earlier this year, along with a similar form of support for Apache Spark. In particular, Microsoft recently integrated Jupyter notebooks with Visual Studio Code by supporting the development of SQL Server 2019 Big Data Clusters PySpark.

The notebooks will be linked directly to the Azure portal and all Cosmos accounts and all data models and APIs will be compatible with this version. These include Cassandra, MongoDB, SQL (Core), Gremlin, and Spark. The following tasks can be performed from Jupyter notebooks:

  • Execute queries interactively
  • Explore and analyze data
  • Visualize data
  • Build, train, and run machine learning and AI models

Data query

As for querying data, Microsoft has introduced some built-in commands to make the process easier. For example, any SQL query with the magic command %% sql in Portal can be run against a container without having to make any changes to the configurations. In terms of visualizing data, these notebooks come with an integrated set of packages including pandas, matplotlib, and more.

In addition, version 4 of the Azure Cosmos DB Python SDK for the SQL API is offered as part of this package. This SDK can be used directly by notebooks to take advantage of the latest performance and usability improvements. This allows SDK operations such as creating new databases and importing data to be performed without installing other packages.

Data visualization

For more information on activating notebooks in an existing account or creating a new Cosmos account, please visit here. Microsoft is also trying to make notebook use a more collaborative process; Users can share their favorite notebooks with the community through the GitHub repository for Azure Cosmos DB Notebooks. Additionally, using the hashtags #CosmosDB, #CosmicNotebooks, and #PoweredByCosmos with your notebooks on social media can lead to Microsoft promoting them around the world.

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