Steve’s first word was “Data”
Data modeling speaker since:
1992
Author of 9 books including:
“Data Modeling Made Simple”
Conference Chair of:
Data Modeling Zone
Inventor of:
The Data Model Scorecard
Steve can teach these onsite
Data Modeling Master Class
A complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. Optionally a full day case study can be added as a fourth day.
Advanced Data Modeling
Do you already know data modeling and want more? Take the Advanced Data Modeling Challenges Workshop! This one-to-three day course will sharpen your data modeling skills by having you tackle many data modeling exercises, each reinforcing essential data modeling techniques.
Upcoming Events
Data Modeling Master Class in Belgium
Data Modeling Master Class plus Workshop in New Jersey (save $300)
Data Modeling Zone in Germany
Data Modeling Zone in Philly
ITGAIN, teaches this class in German throughout the ear. Click here for schedule
The Data Model Scorecard is the industry’s benchmark on data model quality. Having your data model reviewed by the Scorecard ensures an objective and comprehensive validation.
Data Model Scorecard
One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard technique.
Learn About The Data Model ScorecardMost recent blog posts
The end and not the means
At Data Modeling Zone Asia Pac a few weeks back, we had a roundtable discussion on rebranding the “data...
Can an indicator be NULL?
An attribute that is defined as an indicator has only two values, such as Active/Inactive, Yes/No, True/False, and On/Off....
Ambiguity in Definitions
I review many data models throughout the year using the Data Model Scorecard technique, and over 95% of the...
Is stability an important property for a candidate key on the logical data model?
A candidate key is an attribute (or set of attributes) that identifies an entity. A candidate key is either...
Learning more about JSON
One of my New Year’s Resolutions this year is to learn more about JSON. More specifically, how does JSON...
The fifth of the five killer questions: Omissions
In the free Data Model Scorecard Validation Tool, there are five “killer” questions out of the over 150 questions...
The fourth of the five killer questions: Time
In the free Data Model Scorecard Validation Tool, there are five “killer” questions out of the over 150 questions...
The third of the five killer questions: Filter
In the free Data Model Scorecard Validation Tool, there are five “killer” questions out of the over 150 questions...
The second of the five killer questions: Purpose
In the free Data Model Scorecard Validation Tool, there are five “killer” questions out of the over 150 questions...
The first of the five killer questions: Scope
In the free Data Model Scorecard Validation Tool, there are five “killer” questions out of the over 150 questions...
A data modeler joined a panel….
A data modeler joined a panel…sounds like the beginning of a good joke. However, a couple of weeks ago...
Panel question
I will be sitting on a data management panel during career week for an ivy league school in the...
Data Modeling Videos
Steve the Data Modeler or Steve the Superhero?
Steve Solves Stonehenge
“These stones represent the Druid’s first attempt at data modeling,” says Steve. “In the days before data modeling tools, early data modelers had to use stone.”
Steve Rescues Crew
Steve amazingly pulls broken boat (his own boat) across the depths and perils of the Barnegat Bay.
Steve Saves City
Steve catches boulder and saves city below from avalanche destruction.
Data Modeling Prodigy
Steve invents 8NF (Eighth Normal Form) at age 8! Imagine what level of normalization he will invent when he grows up!