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Feedback driven improvement of data preparation pipelines
2019
Information Systems
Data preparation, whether for populating enterprise data warehouses or as a precursor to more exploratory analyses, is recognised as being laborious, and as a result is a barrier to costeffective data analysis. Several steps that recur within data preparation pipelines are amenable to automation, but it seems important that automated decisions can be refined in the light of user feedback on data products. There has been significant work on how individual data preparation steps can be refined in
doi:10.1016/j.is.2019.101480
fatcat:lpo53g3bcbdlxhascdkwkm4eji