Data Warehouse, Predictive Modeling, Uncertainty and Visualization

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. What is Data in Use?

Testing

Testing Data Quality Predictive Modeling Metrics

Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy.

IoT

IoT Big Data Data Warehouse Uncertainty

Data Leaders Brief

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

Topics to watch at the Strata Data Conference in New York 2019

Webinars

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