Description
Data processing jobs can be edited and visualized through a hackable desktop tool aimed at non-technical users. It is useful for teams that need repeatable data integration and on-demand analysis without every user writing code.
Data tools may handle sensitive datasets and transform records in bulk. Review sources, outputs, permissions, and backups before using it on business data.