Ever since the early days of reporting, data warehousing, and analytics, there has been a need for data integration for many reasons. However, if you fast forward 30 years to today, you will see the traditional extract/transform/load (ETL) approach is insufficient to enable real-time predictive and prescriptive analytics. This checklist explores ideas for determining where traditional approaches to data integration are impeding modern analytics and will guide the reader in ways to modernize.
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