Understanding basic concepts
Tabular models are built using four main principles: tables, measures, columns, and relationships:
Tables
Tables contain the columns and rows of data that you are using to populate your Tabular data model. Data can be added from a variety of source systems. Examples include relational database structures such as tables or views, Analysis Services cubes, or text files. The tabular mode engine does not require you to transform data into special schema structures such as Star or Snowflake schemas. By leveraging the tabular model engine you can connect directly to data and transform it in the model designer if needed. This enables quicker model design and iterations without the need to invest in design and building data ...
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