About Data Management
Important: Beginning 15 September 2024, Data Management will no longer be sold as an independent add-on option. After 15 September 2024, features and functionality in Data Management will be offered via certain licence editions. Existing deployments with Data Management remain unaffected. More details will be announced in the coming months. For more information, contact your Sales Account team.
Data Management is a collection of features and functionalites that helps customers manage Tableau content and data assets in their Tableau Server or Tableau Cloud environment.
Starting in Tableau Server 2019.1, Tableau Prep Conductor is available for on-premise Tableau Server deployments, and in version 2019.3, Tableau Prep Conductor is available for Tableau Cloud deployments. You can use Tableau Prep Conductor to schedule and monitor flows.
Starting in Tableau 2019.3, Tableau Catalog is included in Data Management, making a variety of additional features available to you in the data management space. You can use Tableau Catalog to discover data, curate data assets, communicate data quality, perform impact analysis and trace the lineage of data used in Tableau content.
Starting in Tableau 2021.4, more governance and security features were added to Data Management: virtual connections and data policies. Using the virtual connection editor, you can create:
- Virtual connections that provide a sharable central access point to data.
- Data policies to apply row-level security at the connection level.
Tableau Catalog, Tableau Prep Conductor, virtual connections and data policies are licensed through Data Management. For more information about licensing, see Licence Data Management.
To purchase Data Management, contact your account manager.
Data Management Features
The following table lists the features for Data Management, which includes:
- Tableau Catalog
- Tableau Prep Conductor
- Virtual connections
- Data policies
Tableau Catalog
These features require Data Management with Tableau Catalog enabled(Link opens in a new window).
| Feature | Description | |
|---|---|---|
| Permissions on metadata | Tableau Catalog enables you to control who can see and manage external assets and what metadata is shown through lineage by setting permissions. | |
| Expanded connect experience – data discovery | Whether you author in the web or in Tableau Desktop(Link opens in a new window), you can now search for and connect to the specific databases and tables used by published data sources and workbooks on your Tableau Server(Link opens in a new window) or Tableau Cloud(Link opens in a new window) site. | |
| Expanded search | Tableau Catalog expands search to include results based on columns, databases and tables. | |
| Tag external assets(Link opens in a new window) | You can categorise items on Tableau Server and Tableau Cloud with tags, helping users to filter external assets (databases, files, tables and columns). | |
| Certify databases and tables(Link opens in a new window) | Help users find trusted data that meets the standards you set by certifying databases and tables. | |
| Set data quality warnings | You can set warnings to alert users to data quality issues, such as stale or deprecated data. | |
| Lineage and impact analysis(Link opens in a new window) | The Lineage tool traces the source of your data. You can use it to analyse the impact of changes to your data, identify which users might be impacted, and email owners(Link opens in a new window) of a workbook, data source or flow, or contacts for a database or table, about data-related updates. | |
| Data Details | Enable users to better understand a published visualisation by seeing information about the data used. | |
| Add descriptions to assets | Help users find the data they're looking for by adding descriptions to databases, tables and columns. | |
| Developer resources | Tableau REST API - metadata methods(Link opens in a new window) | Programmatically add, update and remove external assets; and add additional metadata to Tableau content and external assets like descriptions. |
| Tableau Metadata API(Link opens in a new window) | Programmatically query metadata from the content published to Tableau Server or Tableau Cloud. Programmatically update certain metadata using the metadata methods(Link opens in a new window) in the Tableau Server REST API. Note: The Metadata API does not require Data Management. | |
| GraphiQL(Link opens in a new window) | Explore and test queries against the Metadata API schema using an interactive in-browser tool called GraphiQL. Note: GraphiQL does not require Data Management. | |
Tableau Prep Conductor
These features require Data Management with Tableau Prep Conductor enabled on Tableau Server(Link opens in a new window) or Tableau Cloud(Link opens in a new window).
| Feature | Description |
|---|---|
| Schedule Flow Tasks in the Tableau Cloud or Tableau Server help. | You can create scheduled flow tasks to run a flow at a specific time or on a recurring basis. |
| Monitor Flow Health and Performance | Set up email notifications at the site or server level when flows fail, view and resume suspended flow tasks and view errors and alerts. |
| Administrative Views for Flows | Use Administrative Views to monitor the activities related to flows, performance history and the disk space used at the server or site level. |
| Tableau REST API - flow methods | Programmatically schedule flows. |
Virtual connections and data policies
These features require Data Management.
| Feature | Description |
|---|---|
| Create a Virtual Connection | A Tableau content type that enables you to create a shareable re-usable connection to curated data. |
| Create a Data Policy for Row-Level Security | Use the virtual connection editor to create data policies with policy conditions that apply row-level security to the data at the connection level. |
| Test Row-Level Security with Preview as User | Test the data policy with Preview as user to ensure that users can see only their data. |
| Schedule Extract Refreshes for a Virtual Connection | Create an extract refresh schedule for the tables in your connection, ensuring that the data is fresh for any content that uses that virtual connection. |