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| r | true |
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| editions | gdpent,gdppro,gdpsta,gdpst,gdppr |
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| 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:
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For more information on available plans, see https://www.trifacta.com/pricing/cloud-dataprep/.
Support packages
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| editions | gdpent,gdppro,gdppr,gdpst |
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offers a range of support packages. For more information, please contact
.
Prerequisites
Before you begin, please review the following prerequisites.
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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.
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- BigQuery
- 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 .
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- A unique bucket name. For more information on bucket name requirements, see https://cloud.google.com/storage/docs/bucket-naming#requirements.
- A storage class. See https://cloud.google.com/storage/docs/storage-classes.
- 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.
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- During enablement of the product in a project. You can select a different staging bucket as needed.
- After the product has been enabled, individual users can configure the bucket to use for staging of their assets. See User Profile Page.
Whitelist the IP address range of the
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| r | true |
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| editions | gdpent,gdppro,gdppr |
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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:| Info |
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NOTE: On the database server for each relational source type (Oracle, SQL Server, etc.), you must whitelist these IP addresses. |
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34.68.114.64/28 |
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NOTE: Relational datasources must be available on a public IP address that is accessible from the product. |
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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
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| Whitelist Platform Service |
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| Whitelist Platform Service |
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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:
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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.
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For more information, see Required Dataprep User Permissions.
Additional permissions
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| editions | gdpent,gdppro,gdppr |
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Some product editions require special permissions to use the project. For more information, see Create IAM Role for Dataprep.
Enable in the project
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NOTE: must be enabled in individual projects by the project owner. |
- In the Google Cloud Console, select the project in which you wish to enable .
- Open the product. See https://console.cloud.google.com/dataprep.
- As the project owner, you must enable access to project data for Google and .
Login
Each user of the project must do the following:
- In the Google Cloud Console, select the project in which you wish to enable .
- Open the product. See https://console.cloud.google.com/dataprep.
- Accept the terms of service.
- Select a bucket to use with the product. For more information, see Enable or Disable Dataprep.
- The is displayed.
- The first time you login, you can immediately upload a dataset and begin transforming it. For more information, see Import Basics.On subsequent logins, the Home page is displayed:
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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. - In the left nav bar, select the User icon.
- In the User menu, select Preferences.
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Image Added - The User Profile page is displayed.
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Image Added - 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.
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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.
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For more information, see Connection Types.
Invite Users
You can invite other people to join your project at this time.
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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.
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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.
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