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Proceedings of the VLDB Endowment
Three mentalities have emerged in analytics. One view holds that reliable analytics is impossible without high-quality data, and relies on heavy-duty ETL processes and upfront data curation to provide it. The second view takes a more ad-hoc approach, collecting data into a data lake, and placing responsibility for data quality on the analyst querying it. A third, on-demand approach has emerged over the past decade in the form of numerous systems like Paygo or HLog, which allow for incrementaldoi:10.14778/2824032.2824055 fatcat:gdepxuc3s5bo3gtbbajkxmchxe