Steve Hoberman is currently a data modeling consultant and instructor. He taught his first data modeling class in 1992 and has educated more than 10,000 people about data modeling and business intelligence techniques since then. Steve balances the formality and precision of data modeling with the realities of building software systems with severe time, budget, and people constraints. In his consulting and teaching, he focuses on templates, tools, and guidelines to reap the benefits of data modeling with minimal investment. Steve is the author of five books on data modeling, the founder of the Design Challenges group, and inventor of the Data Model Scorecard.
Recent Stories From this Author
Modifying Foreign Key Definitions
April 14, 2014 Should we at times modify the foreign key definitions so they are more relevant to the relationship they represent?
Modeling to Millennials
November 18, 2013 How do we teach the newest group to enter our workforce the value of data management and data modeling in particular?
From Data Modeler to Data Scientist
August 16, 2013 Steve Hoberman and the Data Design Challenges group discuss differences between data modelers and data scientists
Data Modeling in Business Class
November 12, 2012 A flight upgrade IT systems flaw kept me without a meal. But it brought up a few new ideas on a data model fix for the airline...
Data and Reality: A Timeless Perspective on Data Management
March 13, 2012 A first-edition book find reminds me of how many issues we tackle on projects that relate more to the ambiguity of information...
The Keys to Alternate, Surrogate Use
January 10, 2012 Situations where we may not have or need an alternate key when using a surrogate key
A Party for Vanishing Definitions
November 1, 2011 There are several options for storing definitions of terms that have been abstracted; your best choice depends on your situation
Physical Data Model Versus Implementation Data Model
September 1, 2011 Physical Data Model Versus Implementation Data Model
Are you actively evaluating master data management technologies and their ability to scale and support emerging trends around big data, social and mobile?