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Introduction to the Automatic Setup Wizard

The automatic setup wizard simplifies the process of creating a semantic layer for your dataset. It guides you through table selection, table optimization, and automatic generation of the semantic layer, enabling you to quickly prepare your data for analysis.

Steps in the Automatic Setup Wizard

The automatic setup wizard consists of three main steps:

1. Table Selection

In the table selection step, you’ll be presented with a list of tables from your dataset. Choose the tables that contain the data you want to analyze and include in your semantic layer. This step helps narrow down the focus to the most relevant data for your analysis.

2. Table Optimization

After selecting the tables, you have the option to add descriptions to each table. Providing clear and concise descriptions can help other users understand the purpose and content of each table, making it easier to collaborate and maintain the semantic layer over time.

Adding table descriptions is optional but highly recommended to help our model understand the data for the automatic generation step.

3. Automatic Generation

Once you’ve selected the tables and added descriptions, our system takes over and automatically generates the semantic layer. It analyzes the relationships between the tables, identifies key metrics and dimensions, and creates a structured semantic layer that’s ready for use. The automatic generation process saves you time and effort by eliminating the need to manually define each metric and dimension. It leverages advanced algorithms to intelligently create a semantic layer that accurately represents your data.

Conclusion

The automatic setup wizard simplifies the process of creating a semantic layer for your dataset. By guiding you through table selection, table optimization, and automatic generation, it enables you to quickly prepare your data for analysis without the need for extensive manual configuration.