![]() Situations where you might still use joins include when you want to: Use joins only when you absolutely need to. We recommend using relationships as your first approach to combining your data because it makes your data preparation and analysis easier and more intuitive. You can only use joins between physical tables contained in a logical table. You must use relationships between logical tables. Relationships, part 3: Asking questions across multiple related tables (Link opens in a new window)Īlso see video podcasts on relationships from Action Analytics (Link opens in a new window), such as Why did Tableau Invent Relationships? (Link opens in a new window) Click "Video Podcast" in the Library (Link opens in a new window) to see more.Relationships, part 2: Tips and tricks (Link opens in a new window).Relationships, part 1: Introducing new data modeling in Tableau (Link opens in a new window).Use Relationships for Multi-table Data Analysis.Learn more: For related information on combining data using relationships, also see these topics and blog posts: You don't need to use LOD expressions such as FIXED to deduplicate data in related tables. Relationships can be many-to-many and support full outer joins. You can see aggregations at the level of detail of the fields in your viz rather than having to think about the underlying joins. During analysis, Tableau adjusts join types intelligently and preserves the native level of detail in your data. Tableau automatically selects what join types should be used based on the current fields in use in the viz. ![]() Relationships defer joins to the time and context of analysis. You can’t set a join type for relationships. You can use relationships to create multi-fact data models. When a relationship is created between tables, the tables remain separate (normalized), maintaining their native level of detail and domains. A relationship describes how two independent, logical tables relate to each other, but does not merge the tables together ( What is a logical table?). Relationships are a dynamic, flexible way to combine data from multiple tables for analysis. Relationships Is a relationship just a different name for a join? If you have a question that isn't in this list, please share it with us by clicking the blue Send feedback icon in the bottom right corner of this Help page, (click Yes or No, add your question in the Comment field, and then click Send). These are some of the questions we've heard related to data modeling and relationships in Tableau.
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