July 2, 2024 7:00 PM
CET
Building high quality data products: The PACCAR perspective
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Contextualized data refers to information that is enhanced with relevant context, such as time, location, environmental conditions, historical trends, or external events to provide deeper insights and greater understanding. Traditional databases can’t capture context, however connected data models can in the form of relationships to other data points, attributes and metadata. Contextualized data provides a richer view that can enhance workflows for identity and access management, threat detection, predictive models and personalization.
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