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References → Union Recipe

Unioning data combines two datasets into one, providing a comprehensive view that enhances analysis and decision-making. This process reveals patterns and trends not visible in isolated data, improves data quality, and supports better forecasting and reporting, leading to more informed strategic outputs.

Configuration

ConfigurationDescription
Recipe NameA freeform name of how a user would like to name a recipe
Top InputInput the data you want to show at the top of a dataset. The schema defined by the first dataset will be applied to the second dataset.
Bottom InputInput the data to be merged into the top input.
Note

Columns in a union are resolved by position. This means columns appearing in a different order between datasets will not be correctly mapped. Additionally, if there is a mismatch in the number of columns between the two input datasets, the recipe will fail.