5 Reasons Why Big Data Projects Fail – Insight for Data Engineers
I have worked on data projects in many different environments for over a decade. None have been perfect. Issues I have seen range from cubes that take 12 hours to refresh at the end of every month, to business requirements changing so much that the data warehouse was scrapped before it was complete (and sometimes, […]
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