📄️ Easy Tabular Configuration
Easy Tabular works with a couple of yaml (or json) files to generate the tabular model. To generate the correct model, it needs to understand the underlying datawarehouse/dataplatform. The underlying dataplatform has to supply the tables in a certain way (star-schema).
📄️ Tabular Model
In essence a tabular model (further on model) is a semantic layer on top of one or multiple datasources. It depends on the situation, but when you are connected to a dataplatform, it's most likely that you have just one datasource. When you are used to connect multiple sources in Power BI with for example all kinds of M-query stuff, it's probably a good time to read this first, before moving on.
📄️ Tabular Table
| Name | Description |
📄️ Tabular Column
The Columns section lists the columns that belong to the table in the model. Each entry specifies the source column name and its data type, which is crucial for defining how data is stored and manipulated within the model.
📄️ Tabular Reference
The References section is used to establish relationships between tables in your data model. This section defines the main table and lists all the associated tables it connects to.
📄️ Tabular Measure
A Tabular Measure is used to define calculations using DAX (Data Analysis Expressions). These measures are automatically included in Power BI reports, making them instantly available in any Power BI file that uses the model. This ensures a consistent set of measures that are easily reusable, saving time and ensuring uniformity across all reports. The measures are listed in the Table section. By doing so, the measures are organized into the tables within Power BI.
📄️ Data Types
Common list of datatypes used in a variaty of rdbms.