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Mind the Gap: The Product in Data Product Is Reliability


Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored analytics architecture stuck in the 1990s. This month, we’ll look at the rise of the data product. It wasn’t so long ago […]

The post Mind the Gap: The Product in Data Product Is Reliability appeared first on DATAVERSITY.


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Author: Mark Cooper

Which Data Quality Issues Are Plaguing Data Engineers Today?


We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]

The post Which Data Quality Issues Are Plaguing Data Engineers Today? appeared first on DATAVERSITY.


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Author: Kyle Kirwan