enables you to rapidly transform disparate datasets of any size into usable data for the entire enterprise. Ingest, explore, and transform your data through a leading-edge interface, reducing the time to prepare your data from weeks to minutes.  is integrated with the Google Cloud Platform and operated by partner .

Applicable Product Editions

These setup instructions apply to the following editions of the product:

NOTE: These product editions are licensed through the Google Marketplace from . For more information on licensing or upgrading from , please see the Google Marketplace listing.


For more information, see Product Editions.

For more information on available plans, see https://www.trifacta.com/pricing/cloud-dataprep/.

Support packages

 offers a range of support packages. For more information, please contact .

Prerequisites

Before you begin, please review the following prerequisites.

NOTE: The name of the service account used by the product is provided by Google and cannot be modified.


NOTE:  If domain restricted sharing has been enabled as a policy in your enterprise, you must add a trust policy for the . If you do not have the ID for this domain, it can be provided by .

Set up a project

To use either product edition, you must have the following already set up in the Google Cloud Platform.

NOTE: If you are upgrading from , you should already have these services enabled.

Create or set up a Google Cloud project. In the Cloud Console, on the project selector page, select or create a Cloud project.

Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

Go to the project selector page

Enable billing on that project. Please verify that billing is enabled for your Google Cloud project. Learn how to confirm billing is enabled for your project.

Enable services: In your project, enable the following services:

  1. BigQuery 
  2. Cloud Storage APIs. See Enable the APIs.

Set up your storage bucket

On , you must have a bucket set up for use with your project .


In the Cloud Console, navigate to the Cloud Storage Browser page. See https://console.cloud.google.com/storage/browser.

Click Create bucket.

In the Create bucket dialog, specify the following attributes:

  1. A unique bucket name. For more information on bucket name requirements, see https://cloud.google.com/storage/docs/bucket-naming#requirements.
  2. A storage class. See https://cloud.google.com/storage/docs/storage-classes.
  3. A location where bucket data will be stored.

Click Create.

Set up your staging bucket

By default, when you enable  in a project, a  staging bucket for  use is automatically created for you in a U.S. region. This staging bucket is used for staging assets for use on  jobs and is required for use with the product. If you do have permissions to create a storage bucket in the U.S, you do not need to create a storage bucket for staging and can skip to the next section. 

NOTE: If you do not have permissions to create a bucket in the U.S., you must your own staging bucket before enabling in your project. This name of this bucket must begin with the following text string: dataprep-staging- followed by an identifying value.

A bucket can be created from:

Google Console: https://cloud.google.com/storage/docs/creating-buckets

Google CLI: https://cloud.google.com/storage/docs/gsutil

The staging bucket can be changed:

Whitelist the IP address range of the 

If you are connecting to relational sources, you must whitelist the IP address range of the  for your database instances.  The IP address range of the   are the following:

NOTE: On the database server for each relational source type (Oracle, SQL Server, etc.), you must whitelist these IP addresses.


34.68.114.64/28

NOTE: Relational datasources must be available on a public IP address that is accessible from the product.

Tip: To verify that you have whitelisted the IP address range appropriately, you can create a connection of the relational connection type from inside the . This step is described later.

For more information, please contact  .

Purchase and enable through the Google Marketplace

After you have completed the above steps, please proceed through the Google Marketplace to complete your purchase. Your purchase covers:

NOTE: Changes to your billing information for a project have been known to cause forced cancellation of in a project. If possible, please confirm that the billing information is properly set for the project before you enable the product on it. If you encounter a forced cancellation, please contact Google Support. For more information, see Enable or Disable Dataprep.

For more information, see https://console.cloud.google.com/marketplace/details/trifacta/cloud-dataprep-editions .

Setup

After the product has been licensed for your project, please complete the following steps for your account.

Required permissions

When  is enabled for your project, the Dataprep.user role is automatically assigned to each permitted user of the project. For basic access, no additional permissions are required.

NOTE: Depending on the permissions scheme in your enterprise, you may need to enable additional permissions to access features of the product or services in the .

For more information, see Required Dataprep User Permissions.

Additional permissions

Some product editions require special permissions to use the project. For more information, see Create IAM Role for Dataprep.

Enable in the project

NOTE: must be enabled in individual projects by the project owner.

  1. In the Google Cloud Console, select the project in which you wish to enable .
  2. Open the product. See https://console.cloud.google.com/dataprep.
  3. As the project owner, you must enable access to project data for Google and 

Login

Each user of the project must do the following:

  1. In the Google Cloud Console, select the project in which you wish to enable .
  2. Open the product. See https://console.cloud.google.com/dataprep.
  3. Accept the terms of service. 
  4. Select a  bucket to use with the product. For more information, see Enable or Disable Dataprep.
  5. The  is displayed.
  6. The first time you login, you can immediately upload a dataset and begin transforming it. For more information, see Import Basics.
  7. On subsequent logins, the Home page is displayed:

Home page

Project settings

The project owner should review the settings for your project. See Dataprep Project Settings Page.

Set up directories

Each user must configure the directories on  for use with the product. You can change the directories that are used for uploads, job runs, and temp storage. 

  1. In the left nav bar, select the User icon. 
  2. In the User menu, select Preferences.
  3. The User Profile page is displayed. 
  4. As needed, you can change the Upload, Job Run, and Temp directories in your bucket. To save your changes, click Done

For more information, see User Profile Page.

Test

If you have completed the above steps, you should verify operations.

Verify operations

Before inviting other users, you should run a simple job through the product. 

Verify IP address whitelisting

If you have whitelisted the  IP addresses for your database server, you can create a connection to the database from inside the . If you are able to successfully read data into the application from your database, then the whitelist has been specified correctly.

NOTE: The database to which you are connecting must be available from the over the public Internet.

For more information, see Connection Types.

Invite Users

You can invite other people to join your project at this time.

NOTE: First-time users of the product should access  by invitation only. Do not provide direct URLs to first-time users.

For more information, see https://cloud.google.com/iam/docs/quickstart.

Example Flows

When a new workspace is created, the first user is provided a set of example flows. These flows are intended to teach by example and illustrate many recommended practices for building your own flows. For more information on example flows, see Workflow Basics.

Resources

The following resources can assist users in getting started with wrangling.

Tip: Check out the product walkthrough available through in-app chat! This walkthrough steps through each phase of ingesting, transforming, and generating results for your data.

For a quick start of  products, see Quickstart for Dataprep by Trifacta.

Check out the  https://community.trifacta.com

For a basic summary of each step of the wrangling process, see  Workflow Basics .

Access documentation: To access the full customer documentation, from the left nav bar, select Help menu > Documentation.

Additional Setup

Depending on your environment, the following additional configuration steps may be required.