The newly introduced logical layer allows you to create a relationship, also known as a “Noodle.” Within each of these Noodles, you can change the nature or cardinality of the relationship, as well as referential integrity assumptions. In the new data source pane you will notice there are two layers to a data source now: logical and physical. This is significantly different than the current method of creating a visualization, which requires the data engine to query all the elements in a data source before creating the visualization, whether they are related to the view or not. These queries are created on the fly and automatically use the tables that are required for each view. This lets the data engine create dynamically defined SQL queries based on the fields you use to create each view. ![]() With the new data modeling feature, Tableau augments or even replaces fixed joins and unions by allowing you to specify the core relationships between tables. Such data models could take considerable effort to plan out and execute, and once complete, they were relatively inflexible. Prior to 2020.2, for each project you built in Tableau Desktop, you first had to create a data model by specifying all the required tables from your database(s) and designate exactly how they were related to each other. ![]() In this post, we’ll give you an inside peek into how this new functionality will help you create data sources in a more robust and efficient way. This is all about to change in the newest version of Tableau. Every data source you have ever used in Tableau depended on a fixed data model, whether it was configured automatically by Tableau, or manually constructed by a user. ![]() Tableau 2020.2 has arrived and it’s full of new and exciting features as always but-with a radical revision of the Data Source and Analysis tab, this version of Desktop contains changes as significant as any Tableau has previously released.Ī data model is a set of instructions for connecting tables in and across databases.
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