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The articles in this section describe how to install Tableau Desktop or Tableau Prep Builder from the user interface. Also included are instructions for installing Tableau Desktop Public Edition, which doesn't require activation.

During installation, Tableau configures default settings for your display language and repository location. If you want to change those settings you can do this after install is complete. Tableau also enables certain features for you by default such as usage reporting or automated product updates (Tableau Desktop only). For information about how to turn off these features and more, see Change Installation Settings after Installation(Link opens in a new window).

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Drivers for some data sources are installed automatically when you install Tableau Desktop. See the Database drivers installed with Tableau Desktop and Tableau Prep Builder section in the Before You Install topic for specifics.

This option allows us to gather usage pattern data to improve the product. For more information about this option and how to turn it off after installation, see Turn off usage reporting. For more information about the type of data we collect, see Tableau Product Usage Data(Link opens in a new window).

Check for Tableau product updates: Clear the check box if you want to disable the product update feature. This feature checks for maintenance updates and installs them automatically. If you disable this option at install it also disables the menu option for users. For more information about the product update feature, see Control Product Updates for Tableau Desktop.

Enable error reporting : If Tableau Prep Builder has a problem and shuts down unexpectedly, crash dump files and logs are generated and placed in your My Tableau Prep Builder Repository > Logs and My Tableau Prep Builder Repository > Logs > crashdumps files.

For Windows environments, if you selected to add a start menu or desktop shortcut, you can start the product from the Start menu or Desktop. To start the product from the executable, go to the install directory (the default is: C:\Program Files\Tableau\Tableau Prep Builder and select Tableau Prep Builder.exe.

That feature is only available to Tableau Server. You can output TDE files from Alteryx, but there is no way that Alteryx can push directly into the desktop. The Tableau Server tools uses Tableau's API which the API doesn't have access to the desktop.

I'm new to the tool and was disappointed to see this post as I have Tableau desktop and not server. I was really hoping I could export out my analysis this way. I don't know the reasons it can't be done, could it be added to a future version?

Alteryx will output .tde or .hyper files that can be used in tableau desktop, that is not an issue.

If you have a Tableau workbook using an extract as a datasource, that extract can be overwritten (or appended, whatever you choose in the output options) using Alteryx.

Hi @dsmdavid Thanks for your reply. Currently the output file from Alteryx is an xls and my Tableau file is a live connection. So not sure if the xls from Alteryx designer can directly go into Tableau desktop?

I use a Mac and use Tableau Desktop to build workbooks that connect to Smartsheet data. Currently, I use Data Shuttle to offload the data to a Google Sheet. Then I connect Tableau Desktop to the Google Sheet. If there were a Mac ODBC driver for Tableau Desktop, I could connect to my smartsheet data sources directly from Tableau Desktop improving development workflow and reducing potential problems in the integration chain.

The ODBC interface is built by Microsoft and so Smartsheet is not able to influence its ability to work with Mac devices. I would recommend providing your enhancement request to Microsoft on the ODBC documentation, here.

That said, Smartsheet has a Web Data Connector that you can leverage when connecting with Tableau. In Tableau, go through Connect > Web Data Connector. Then on the Web Data Connector window, select Use a Connector to find Smartsheet. If you cannot find it from this list, I believe the URL to input on the Web Data Connector page is :443/tableau/

Would you mind double-checking that the ODBC driver was built by Microsoft? They built the SDK, but companies, and I'd bet a donut, including Smartsheet have developed their own version of the ODBC driver using the SDK. The Smartsheet-specific ODBC driver is discussed on your site (here, here, and here), and the specifics further strongly suggests that Smartsheet developed it. If I'm right, then Smartsheet would be the party responsible for developing the Mac version of the Smartsheet-specific ODBC driver. If I'm wrong, you get a donut. :)

Regarding the WDC. I'm pleasantly aware of it and its functionality. I'm aiming high, for the ODBC connection so that I can have a live data connection with fewer headaches then the WDC gives me. Those issues with the WDC are a problem with my internal org, and not Smartsheet.

I think it would be good if we could have customisable (to an extent) on sheets or an option that people are allowed to do so if granted access on a sheet. Some people wanted "highlighted changes" or "frozen columns" on and other do not. Is there a way to add it to your filter maybe so people can opt in to those being on?

Allowing using the middle button on the mouse to start an auto scroll on the grid view. Some of the sheets are quite wide, and it would be nice to not have to use the scroll bar at the bottom to move left/right.

When you use Databricks as a data source with Tableau, you can provide powerful interactive analytics, bringing the contributions of your data scientists and data engineers to your business analysts by scaling to massive datasets.

Databricks ODBC driver version 2.6.19 or above. Install the driver using the downloaded installation file on your desktop. Follow instructions provided by Tableau to set up the connection to Databricks. Please refer to Tableau and ODBC on more details about how Tableau Desktop works with ODBC driver.

(Recommended) Tableau enabled as an OAuth application in your account. Tableau Desktop is enabled by default. To enable Tableau Cloud or Tableau Server, see Configure Databricks sign-on from Tableau Server.

If you use personal access token authentication, Databricks recommends using personal access tokens belonging to service principals instead of workspace users. To create tokens for service principals, see Manage tokens for a service principal.

After you successfully connect with Tableau Desktop, you can stop here. The remaining information in this article covers additional information about Tableau, such as connecting manually with Tableau Desktop, setting up Tableau Server on Linux, how to use Tableau Online, and best practices and troubleshooting with Tableau.

After you successfully connect with Tableau Desktop, you can stop here. The remaining information in this article covers additional information about Tableau, such as setting up Tableau Server on Linux, how to use Tableau Online, and best practices and troubleshooting with Tableau.

This article shows how to publish a workbook from Tableau Desktop to Tableau Online and keep it updated when the data source changes. You need a workbook in Tableau Desktop and a Tableau Online account.

Tableau performance recording, available on both Tableau Desktop and Tableau Server, can help you understand where performance bottlenecks are by identifying processes that are causing latency when you run a particular workflow or dashboard.

For instance, if query execution is the problem, you know it has to do with the data engine process or the data source that you are querying. If the visual layout is performing slowly, you know that it is the VizQL.

If the performance recording says that the latency is in executing query, it is likely that too much time is taken by Databricks returning the results or by the ODBC/Connector overlay processing the data into SQL for VizQL. When this occurs, you should analyze what you are returning and attempt to change the analytical pattern to have a dashboard per group, segment, or article instead of trying to cram everything into one dashboard and relying on Quick Filters.

If the poor performance is caused by sorting or visual layout, the problem may be the number of marks the dashboard is trying to return. Databricks can return one million records quickly, but Tableau may not be able to compute the layout and sort the results. If this is a problem, aggregate the query and drill into the lower levels. You can also try a bigger machine, since Tableau is only constrained by physical resources on the machine on which it is running.

Tableau can push down filters into data sources, which can greatly speed up query speeds. See Filtering Across Multiple Data Sources Using a Parameter and Filter Data Across Multiple Data Sources for more information about data source push down filters. 152ee80cbc

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