Connect to Data

When you import data into Cloud Dataprep by TRIFACTA® INC., you are creating a reference to a source of data; the source is never touched. When the data is required for use, Cloud Dataprep by TRIFACTA INC. reads a sample of the source data into the application for your use. Data is read into the application through an object called a connection.

The following are the supported types of connection for the product:

  • Upload/Download: You can upload data directly from your local desktop. You can also save it locally on export.

  • Google Cloud Storage: Read from and write to files in cloud storage.

  • BigQuery: You can store relational content in BigQuery, from which Cloud Dataprep by TRIFACTA INC. can read.

Locate Connections

You already have a set of connections that you can use. Connections can be either read-only or read-write.

Read-only:

  1. In the Home page, click the Library icon in the left nav bar.
  2. In the Library page, click Import Data.
  3. In the Import Data page, your list of available connections is displayed in the left nav bar. In this location, you can use the listed connections to read from data only.

See Import Data Page.

Use Connections

Read-Only

  1. In the Import Data page, select one of the available connections.
  2. Navigate the connection's environment to select the asset to import.
  3. Select the object and click Open.
  4. In the Import Data page, review the settings of the asset in the card in the right panel. Make updates as needed.
    1. See Import a File.
    2. See Import a Table.

For more information, see Import Data Page.

Write

NOTE: You cannot write or publish results until connections have been created for you.

Write results:

You write results through a connection by specifying a set of settings.

  1. In the Run Job page, click Add Publishing Action.
  2. In the left nav bar, select the connection.
  3. Specify the settings for the publishing action.
  4. Run the job.
  5. When it successfully completes, the specified results are published through the selected connection.

See Run Job Page.

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Google Cloud Dataprep Documentation
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