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Eight data prep lessons for advanced analytics -- Sascom Voices →
Communicating the logistical layout and complexity of #3
3. Distinguish between data warehouses, data marts, and analytic databases.
with the overall vision for #4
4. Design a data warehouse architecture that accommodates analytics.
are where most PMs have problems. In particular with #4, communicating the need to create something extensible and scalable ‘for the future’ clashes with the easy technical kludge to get something up and going immediately.
