Rediscovering The Lost Art Of Data Modeling - What Works Series

Data modeling has been a data analysis and design discipline for decades, but in recent years it has become a lost art for many data teams. Attention to modeling diminished with the adoption of big data, data lakes, data pipelines, schema-on-read, and other modern data trends. Still, data modeling is a core data engineering skill-one that is deficient or missing in many data engineering teams. It is time to rediscover the lost art of data modeling.
You Will Learn:
- Modern uses for older techniques - relational and multi-dimensional data modeling
- Rethinking the roles of logical and physical data modeling
- Higher levels of abstraction - conceptual and semantic data modeling
- Sematic data models a data translators for APIs, data services, and data products
Host and Moderator: Wayne Eckerson, President and Lead Consultant, Eckerson Group
Consultant: Dave Wells, Analyst, Eckerson Group
About the What Works Series:
The What Works Series provides data and analytics leaders practical advice about how to succeed in key areas: data strategy, data architecture, data governance, data literacy, self-service analytics, and emerging technology approaches. These interactive sessions are delivered by Eckerson Group consultants who collectively have 200+ years of data & analytics experience. The sessions are unsponsored, enabling our experts to offer the unvarnished truth about trends, tools, and technology unfiltered by software vendors.

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