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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Data coming from machines tends to land (aka, data at rest ) in durable stores such as Amazon S3, then gets consumed by Hadoop, Spark, etc. Sorry, there is no data in agile.