Tableau Server Software Download
Alfonsa Pan
Deeply integrate with your enterprise architecture to leverage technology investments. Choose from on-premises or public cloud and configure servers, manage software upgrades, or scale hardware capacity according to your requirements. Connect to any data and turbocharge teamwork by discovering, sharing, collaborating, and exploring data from your mobile device, tablet, or computer. Build and scale mission-critical analytics while maintaining control with Tableau Advanced Management, offering increased scalability, improved efficiency, and enhanced security. Monitor usage in one environment to more efficiently stay in compliance.
Integrate deeply with your enterprise architecture to leverage technology investments. Choose from on-premises or public cloud, and configure servers, manage software upgrades or scale hardware capacity according to your requirements. Connect to any data and turbo-charge teamwork by discovering, sharing, collaborating and exploring data from your mobile device, tablet or computer. Build and scale mission-critical analytics while maintaining control with Tableau Advanced Management, offering increased scalability, improved efficiency and enhanced security. Monitor usage in one environment to more efficiently stay in compliance.
The TableauAuth class defines the information you can set in a sign-in request. The class members correspond to the attributes of a server request or response payload. To use this class, create a new instance, supplying user name, password, and site information if necessary, and pass the request object to the Auth.sign_in method.
The method signs into Tableau Server or Tableau Cloud and manages the authentication token. You call this method from the server object you create. For information about the server object, see Server. The authentication token keeps you signed in for 240 minutes, or until you call the auth.sign_out method. Before you use this method, you first need to create the sign-in request (auth_req) object by creating an instance of the TableauAuth. To call this method, create a server object for your server. For more information, see Sign in and Out.
The GroupItem class contains the attributes for the group resources on Tableau Server. The GroupItem class defines the information you can request or query from Tableau Server. The class members correspond to the attributes of a server request or response payload.
Using the TSC library, you can get information about an asynchronous process (or job) on the server. These jobs can be created when Tableau runs certain tasks that could be long running, such as importing or synchronizing users from Active Directory, or running an extract refresh. For example, the REST API methods to create or update groups, to run an extract refresh task, or to publish workbooks can take an asJob parameter (asJob-true) that creates a background process (the job) to complete the call. Information about the asynchronous job is returned from the method.
The JobItem class contains information about the specified job running on Tableau Server. The JobItem class defines the information you can query from Tableau Server. The class members correspond to the attributes of a server response payload.
Waits until a given job succesfully finishes.Repeatedly polls the server using jobs.get_by_id until the job completed.It uses an exponentially increasing sleep time between polls to guarantee a snappy response time for fast-running jobs while not putting overly large load on the server for long-running jobs.
Use this class to specify view filters to be applied when the CSV data is generated. Optionally, you can specify the maximum age of the CSV data cached on the server by providing a maxage value. See views.populate_csv.
Use this class to specify view filters to be applied when data is generated in an Excel file format. Optionally, you can specify the maximum age of the Excel data cached on the server by providing a maxage value. See views.populate_csv.
Use this class to specify the resolution of the view and, optionally, the maximum age of the image cached on the server. You can also use this class to specify view filters to be applied when the image is generated. See views.populate_image.
Use this class to specify the format of the PDF that is returned for the view. Optionally, you can specify the maximum age of the rendered PDF that is cached on the server by providing a maxage value. See views.populate_pdf.
The ScheduleItem class contains information about the specified schedule running on Tableau Server. The ScheduleItem class defines the information you can query and set. The class members correspond to the attributes of a server response payload.
In the Tableau REST API, the server ( -SERVER/) is the base or core of the URI that makes up the various endpoints or methods for accessing resources on the server (views, workbooks, sites, users, data sources, etc.)The TSC library provides a Server class that represents the server. You create a server instance to sign in to the server and to call the various methods for accessing resources.
The Server class contains the attributes that represent the server on Tableau Server. After you create an instance of the Server class, you can sign in to the server and call methods to access all of the resources on the server.
When you create an instance of the Server class, you have access to the resources on the server after you sign in. You can select these resources and their methods as members of the class, for example: server.views.get()
The ServerInfoItem class contains the build and version information for Tableau Server. The server information is accessed with the server_info.get() method, which returns an instance of the ServerInfo class.
The SiteItem class contains the members or attributes for the site resources on Tableau Server or Tableau Cloud. The SiteItem class defines the information you can request or query from Tableau Server or Tableau Cloud. The class members correspond to the attributes of a server request or response payload.
The UserItem class contains the members or attributes for the view resources on Tableau Server. The UserItem class defines the information you can request or query from Tableau Server. The class members correspond to the attributes of a server request or response payload.
The ViewItem class contains the members or attributes for the view resources on Tableau Server. The ViewItem class defines the information you can request or query from Tableau Server. The class members correspond to the attributes of a server request or response payload.
Please be advised that ASIR will be experiencing brief down time of its data reports and visualizations powered by our Tableau Server today, Wednesday, December 22, in order to perform server upgrades. The downtime will last between 4:30pm-5:00pm.
1) Understand what you are getting from Server: Tableau server allows a centralized location from where Enterprise Workbooks can be managed and automated. Those 2 are the critical sells. The automation is a big time saver for those who are collecting extracts manually, while centralized management of workbooks avoids multiple versions of truth.
2) Understand what you are not getting from Server: Tableau server does not bring any new functionalities in terms of new charts, formulas, trend analytics etc. The features on the server is exactly the same as Desktop.
3) Desktop will still be the development tool: One of the oft mentioned phrase in every Tableau article, white paper, conference calls etc.. seems to be - Unlike other BI tool, Tableau is different...if I had a dollar every time I read that comment I would be a rich man. Nonetheless, in Desktop-Server set up for Tableau, it is indeed different. Having server does not preclude you from having Desktop. The Desktop remains the development platform where the building of workbook will happen and then moved to server for automation and governance. This brings me to licensing.
4) Understand how Tableau licensing works: Tableau licensing differs from most conventional BI platform in the sense that you would need to plan the number of Desktop licenses and number of server liceneses. And the licenses for each would be separate/mutually exclusive. If you have a Desktop user who needs to be on server you need 1 Desktop license and 1 server license. To use a Business Objects analogy, 1 user license on server allows users to user both server as well as client tools (Designer, WebI rich client etc.). Not so with Tableau. This would need to be understood well to best understand the cost of deployment and also scaling down the line.
5) Size the server correctly : Sizing of a BI Platform remains a combination of arts and science. One has to understand the architecture and how the platform works, but also need to understand the business usage, type of problem it solves, amount of data handled, when to use cache vs live data etc. The key (for us) has been to understand the data extracts size and the number of workbooks that use them. Fortunately for this there are some good articles including this one.
6) Know where to host the server and cost: Few years back this was almost always a no-brainer. The software were usually on premise. This is not true anymore. One can certainly put the platform on premise but there is a good chance it can be in cloud (AWS for example). Having in cloud brings up conversation on the cost of deployment, speed of transmission, opening ports for communication etc. This is a different method to on premise so you may want to keep that in mind.
Once you can get through these major hurdles you are up and running. Tableau server is rather simple and easy to implement and requires minimal administration. Of course the more complicated your environment the more effort it would require to administer. It can also lead to Mobile deployment which can open up a whole new world to Analysts with data on the go.
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