Data Warehouse, Metadata and Uncertainty

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing

Testing Data Quality Predictive Modeling Metrics

Data Science, Past & Future

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science

Data Science Machine Learning Data Governance Modeling

Data Leaders Brief

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

Data Science, Past & Future

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