Written for CIOs, data analysts, data scientists, and data application pros, this whitepaper examines five critical ways that ETL operations hold businesses back. We focus on the unique challenges involved in each stage of the ETL, from the plurality of data sources; through obscure source schemas; to data hygiene, security, and governance issues.
The whitepaper then lists the prerequisites that must be satisfied by any solution that aims to replace ETL operations, from the ability to ask new data-related questions without incurring preparation overhead costs, to keeping data intact and data logic rationalized. The whitepaper then proposes a blueprint for shedding off ETL operations, which centers on a virtualized data warehouse approach.
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