HyperAuto V2 also supports creating pipelines from SAP data without needing a direct SAP connection. This provides flexibility, enabling support for a large variety of architecture, including source mirrors, static data extracts and pre-filtered data.
To create a HyperAuto V2 pipeline on top of SAP datasets, set up a single Foundry folder containing:
Keep all datasets directly within the same folder to ensure auto-detection works and to minimize the pipeline creation steps. Calling the input table datasets by their SAP table name (for example, MARA
) will facilitate the auto-mapping process and reduce the number of manual steps required.
The data needs to be an untransformed extract of raw SAP tables, with their technical column names.
Data dictionary tables contain the necessary metadata from SAP with which HyperAuto generates a pipeline, including table and column descriptions, and descriptions of the relationships between tables.
The data dictionary tables required to create a folder-based SAP HyperAuto pipeline are:
Data dictionary tables must be in their raw format and unfiltered for HyperAuto to function properly.
To create a basic HyperAuto pipeline on top of an SAP system's MARA
and MAKT
tables, create a folder containing the following datasets:
Click Create Pipeline to be taken to the HyperAuto pipeline creation wizard.
First, choose a valid name and location for the pipeline.
If the input is set up correctly these will be automatically mapped. Otherwise, manually map each metadata table before progressing.
To show all available tables (based on the data dictionary tables) click Show undiscovered tables.
Adding an undiscovered table will require you to manually map the input to an appropriate Foundry dataset for it to be usable as an input.
Creating a pipeline with an unmapped input will cause that input to be ignored.