![tableau connect to microsoft sql on mac tableau connect to microsoft sql on mac](https://lentiq.com/docs/assets/user_guides/managing_data/tableau_configure_dsn.png)
- Tableau connect to microsoft sql on mac how to#
- Tableau connect to microsoft sql on mac for mac#
- Tableau connect to microsoft sql on mac download#
- Tableau connect to microsoft sql on mac mac#
Therefore, we are not implementing the direct relationship between the fact table and the DimSalesTerritory table. While doing so may improve query performance, it will create confusion during analysis by having two Sales Territory tables. In order to replicate this model in Tableau, we would have to add the DimSalesTerritory table to the canvas twice. The additional relationship between the fact table and the DimSalesTerritory table allows for analysis involving sales territories to bypass the other two dimension tables, therefore improving query performance by reducing the number of joins required.
![tableau connect to microsoft sql on mac tableau connect to microsoft sql on mac](https://www.holistics.io/blog/content/images/2020/09/My-Beautiful-Dashboard-2-5.png)
Recall from the data model that the DimSalesTerritory table connects to both the fact table and the Dim Geography table.
Tableau connect to microsoft sql on mac download#
Be sure to download the Data Warehouse version and not the OLTP version of the database.
Tableau connect to microsoft sql on mac how to#
Instructions on how to restore the database using SQL Server Management Studio can be found here.
Tableau connect to microsoft sql on mac mac#
Mac users will need to set up a SQL server environment using an alternative program. For this exercise, we will be utilizing a SQL server with a copy of the AdventureWorks2019DW.
Tableau connect to microsoft sql on mac for mac#
Important Note for Mac users: SQL Server Management Studio (SSMS) is only available on Windows. These situations will be discussed in detail during the implementation. During this implementation we will be adhering to data modeling best practices, however, some deviation will be required due to limitations with Tableau. Some modifications to the model will be necessary for implementation inside of Tableau Desktop. The diagram below shows the example data model that we will be implementing during this exercise.
![tableau connect to microsoft sql on mac tableau connect to microsoft sql on mac](https://d2o2utebsixu4k.cloudfront.net/media/images/319aeda6-980e-4cdf-9c5b-8fee7619eaf8.jpg)
In order to illustrate the new data model capabilities, we’ll walk through an example of this at work! Implementation Overview A visual representation of the new data model looks like the following: New and Improved Tableau Data Model It’s easy to gloss over those last three sentences, but for anyone who has tried to work with large, disparate datasets (or even better, large, disparate databases!), this new functionality is HUGE! As anyone with LOD join experience knows, these calculations of the past were tough to manage and keep organized when developing a new data model. An added benefit of using relationships is that they do not require LOD calculations when performing analysis at different levels of detail. This enables a single data source to support different join types depending on the analysis being performed. Each table in the data source remains normalized and in its native level of detail. This relationship does not specify a join type, instead, the join type is determined at the time of analysis based on the context of the visualization. This logical layer sits above the physical layer and allows relationships to be defined between tables. With this update, Tableau introduced a logical layer to the data model. This often resulted in cumbersome processes that required a lot of data processing and resulted in long query times.Įverything changed with version 2020.2. In the past, Tableau Desktop limited users to establish a data model utilizing only a physical layer where unions and joins were defined.