Implication of using the Standard Data Ingestion API
In addition to the benefits of using the Standard Data Ingestion API, you should also consider the following implications:
-
An increased dependency on IT departments
- To successfully ingest data via this method, IT departments must provide the source system data via ETL tools or cloud data lakes.
- As part of an expansion into a new process domain, it most likely requires involvement of the IT department again to add the additional data.
-
Unable to take advantage of native data integration capabilities:
- Capabilities provided by Celonis extractors such as defining extraction filters, removing columns, and changing data types are not provided and therefore must be handled by users.
- Scheduling of data ingestion must also be handled by users and you may need to rely on such capabilities provided by your source systems (such as Snowflake, Databricks, etc.).