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Announced at Tableau Conference 2018, we’re enhancing Tableau with new data modeling capabilities to help you more easily analyze complex data without having to learn advanced database concepts or write custom SQL code. Tableau will automatically recognize data relationships stored in databases like Oracle and SQL Server, leveraging common data warehouse standards like star and snowflake schemas.

Simplify the data modeling process

Tableau can leverage your existing star or snowflake database schema to automatically create relationships in your data, getting you to your analysis faster, no advanced database skills needed.

A more intuitive analytics experience

Slice and dice more complex data with confidence because Tableau understands and manages the level-of-detail in your data, automatically accounting for many data duplication scenarios, and ensuring you get accurate results without level of detail calcs.

More efficient data sources

Tableau only queries the tables relevant to the dashboard. By maintaining the underlying relationships, fewer joins and calculations are needed. Together you can experience faster extract creation and dashboard interactions.

Fewer data sources to maintain

Since these enhanced data sources can answer a wider variety of questions, organizations will be able to consolidate the number of distinct data sources they create and maintain.