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.