2006 Data Integration Risk Testing 
Domino Data Lab
APRIL 3, 2019
The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Cloud gets introduced: Amazon AWS launched in public beta in 2006.
datapine
DECEMBER 28, 2021
Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Exclusive Bonus Content: Download Our Free Data Integrity Checklist.
Expert insights. Personalized for you.
84 
Let's personalize your content