Here you can see the logs of completed ETL/ELT pipeline jobs.
Via the context menu of a selected job line you can open/edit the ETL/ELT pipeline that has been executed.
NOTE If the debug mode ("Main settings/Log level") was selected for logging, the amount of data can be very large and it is advisable to analyze it in an external editor.
ETL (Extract, Transform, Load) is the traditional data integration workflow. Data is collected from sources and sent to a staging area to be cleaned, formatted, and enriched, and then loaded into a destination. It ensures data quality and security before storage, making it ideal for smaller, structured datasets.
ELT (Extract, Load, Transform) is a data integration process that pulls raw data from a source and loads it directly into a target system (such as a cloud data warehouse) before processing it. This leverages the power of the target to perform transformations, enabling faster ingestion of big data.