Tableau Integration

Tableau analytics & BI automation

349 operations availableAnalytics & BI

Tableau is the analytics and BI platform teams use to publish dashboards, data sources, and flows that the whole company reads. The NoClick Tableau node works against the Tableau Server and Tableau Cloud REST API, so a workflow can manage the parts of a site that usually eat an analyst's afternoon: adding users to a site or group, granting permissions on data sources and flows, tagging columns, tables, and databases, attaching data quality warnings, favoriting views and metrics, and scheduling data source refreshes. It can also add users to data-driven alerts and pull items into collections and group sets. Put it on the canvas when you want site governance and content upkeep to happen on their own instead of one right-click at a time.

What you can automate with Tableau

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Tableau Operations

Triggers20

Projects5

Workbooks21

Views18

Data Sources19

Users & Groups4

Webhooks4

Authentication4

Sites12

Flow22

Users and Groups18

Favorites13

Jobs Tasks Schedules16

Subscriptions5

Notifications11

Server4

Extract and Encryption7

Metadata34

Connected App13

Virtual Connections14

Publishing2

Pulse39

Collections10

Identity Pools12

Content Exploration4

Custom Domain5

Analytics Extensions13

Templates using Tableau

Tableau Refresh Failure Agent

+1

Turns a failed extract refresh into one Slack note that quotes the error, counts the sibling datasources that broke with it, and names the teams whose dashboards just went stale. A stale Tableau dashboard is usually discovered in a meeting, by the person least able to fix it, several hours after the refresh actually failed. This agent picks the failure up instead, quotes the error as Tableau wrote it, checks which sibling datasources went down in the same window, and posts one Slack note naming the project, the owner and the teams whose numbers are now old. It suggests where to start and touches nothing, so your data team decides what gets rerun. ## What people use it for - **One password, nine dashboards** - Credentials expire per connection and not per datasource, so a single failure is often the visible edge of ten. The note carries the count and a couple of names, which turns a fix for one extract into a fix for all of them. - **Written for the people affected** - The project and the teams behind it are named before any technical detail, so a finance lead reading the channel knows this morning's numbers are old without having to work out what a datasource is. - **Errors quoted, not translated** - Driver codes and database messages go in exactly as returned. That string is what a search finds, what a vendor ticket needs, and what stops a guess hardening into the accepted explanation. - **Nothing rerun behind your back** - The agent never triggers a refresh or edits a schedule, which matters on sites where one extract holds a warehouse open for two hours. It reports, and your team chooses what to run again and when. ## Before you fork **How is this different from the failure email Tableau already sends?** The built in alert goes to the datasource owner and says that one thing failed. This checks the rest of the site first, so you learn that eight extracts on the same connection failed together, and it posts where the affected teams already are instead of into one person's inbox. The error text is carried through unchanged either way. **Does it need a Tableau site administrator account?** It needs enough access to read jobs and query datasources across the projects you care about, which on most sites is a site role that can see those projects rather than a full administrator. No publishing or scheduling permission is needed, and withholding it removes any chance of an accidental refresh. **Can it rerun the refresh once someone fixes the credential?** No. Reruns cost warehouse time and can collide with the schedule, so that decision stays with your data team. What it does instead is hand them the failing connection, the datasources sitting behind it and the first step from your rules, which is usually the slow part of the decision anyway.

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