Viewing the Freshly-Imported Data in Tableau 16

What is Data Streams?

2

Singing Up

2

Creating A Stream

3

Linking Your Data Extract Source & Data Destination

3

Schedule & Date Range/Filters & Segments:

6

Metrics & Dimensions/Data Stream Name & Save

9

Managing Your Streams

10

Editing Your Streams

14

Pausing & Resuming Your Data Streams

15

Deleting a Stream

16

Viewing the Freshly-Imported Data in Tableau

16

What Is Data Streams?

Data Streams is an online data migration tool that allows users to bring data from external platforms (Adobe Analytics, Bing Ads, DoubleClick for Advertisers, Facebook Pages, Facebook Ads, Google Analytics, Google Ads, Google BigQuery, Kochava, Microsoft SQL Server, MySQL, PostgreSQL, Redshift, Search Ads 360, Snowflake, Teradata, and YouTube) into various destinations such as Amazon S3, Google BigQuery, FTP, MongoDB, MySQL, PostgreSQL,Redshift, Snowflake, Microsoft SQL Server, and Teradata.

Signing Up

Go to our Data Streams link in your browser and click the `Sign Up For Free' button.

Fill in the fields with your details, check the consent box, and click the `Create my account' button.

Once the account has been successfully created, the stream builder page is displayed.

Creating a Stream

Linking Your Data Extract Source And Data Destination

1. Under the `Data Extract Source' section select `Connect to a New Data Source.'

2. Choose a Data Connector from the drop down list under the Data Connector tab.

3. Link your credentials. To do so, click the Link button. This will open a new window that will prompt you to enter your Adobe credentials (for the Adobe Connector). Log in with your username and Adobe secret. For more information about linking your Adobe Analytics credentials, visit our Support Center article.

4. Once your credentials are linked, you can select your Adobe credential and Report Suite. To save this data source for future reference, name it, and click the SUBMIT button.

5. Data Destination. Choose your data destination from the `Data Connector' dropdown.

6. Link your Snowflake credentials by hitting the `Link' button. This prompts a new window where you have to add your login and additional server and port information. The same goes for Amazon Redshift and other data warehouse sources.

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