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Registering a dataset from a local file

You are now ready to start importing your own datasets in the inventory.

Talend Cloud Data Inventory offers connectivity to a wide range of environments or systems such as databases or cloud platforms, see the Talend Cloud Connectors Guide for more information. But for the sake of an example that you can follow from end to end, you will work with a local file. Usually, before importing a dataset, you would have to set up a connection to the corresponding datastore. However, when importing a local file as dataset, a local connection is created in the background making the process quick and simple.

This scenario will focus on the movies.csv file, that you can retrieve in the Downloads tab of the menu located in the left panel of this page. Save it to the location of your choice.

This dataset contains a list of popular movies from around the world, with several relevant information and metadata such as their title, genre, popularity, runtime or release date. The goal will be to add it to your list of datasets in the application, start interacting with it and discovering the actual data, before adding new metadata that will help you keep track of its content as well as making it easy to find once your inventory grows bigger.


  1. To import your local movies.csv file and create your first dataset, and depending on your preferred method, you can either:
    • Drag the file and drop it anywhere on the Datasets screen.
      The interface when you are about to drop a file in the application.
    • Click the Drag a file or browse button to open your explorer and select the file from its location.
      Drag a file or browse button.

    Your file is uploaded and the local movies dataset is created. The Overview page directly opens.

    The information about the csv file properties, such as the escape character, field delimiter, etc. have been automatically detected in the background, but you can change them anytime.

    A Local connection has been created to enable the import, and future local imports will also rely on this connection.

  2. On the top-left of the screen, point your mouse over the dataset name, and click the Edit this dataset icon.
  3. Enter movies_gsg as new name and click Validate.


You are now ready to look into the details of the movies_gsg dataset.
View of the movies_gsg dataset details.

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