Data load support

The Insert to code function is available for project data assets in Jupyter notebooks when you click the Find and Add Data icon () and select an asset in the notebook sidebar. The asset can be data from a file or a data source connection.

By clicking in an empty code cell in your notebook and then clicking the Insert to code link below an asset name, you can select to:

• Insert the data source access credentials. This capability is available for all data assets that are added to a project. With the credentials, you can write your own code to access the asset and load the data into data structures of your choice in your notebook.

• Generate code that is added to the notebook cell. The inserted code serves as a quick start to allow you to easily begin working with a data set or connection. For production systems, you should carefully review the inserted code to determine if you should write your own code that better meets your needs.

  When you run the code cell, the data is accessed and loaded into the data structure you selected.

  Note: If the file type or database connection that you are using doesn’t appear in the following lists, you can select to create generic code. For Python this is a StreamingBody object and for R a textConnection object. Generic code cannot be created for Scala.

The following tables show you which data source connections (file types and database connections) support generating code which loads data into given data structures in a notebook. The Insert to code function options for generating code vary depending on the data source, the notebook coding language, and the notebook runtime compute.

Supported files types

Supported database connections