Data Modeling is an essential professional skill in data management. How we use information in business is evolving and driving the development of data management techniques and technologies.
Data architects and data modelers must learn new skills and techniques to work in the world of modern
data management.
Data Modeling Zone provides several pathways for individuals to develop their skills-based. Below are three levels of competency which align to the sessions in each conference, as well as training and books available from the Institute of Data Management.
Data Modeling is an essential professional skill in data management. How we use information in business is evolving and driving the development of data management techniques and technologies.
Data architects and data modelers must learn new skills and techniques to work in the world of modern
data management.
Data Modeling Zone provides several pathways for individuals to develop their skills-based. Below are three levels of competency which align to the sessions in each conference, as well as training and books available from the Institute of Data Management.
A complete data modeling course, virtual or in-person, containing over 20 hours 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.
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 modelling skills by having you tackle many data modeling exercises, each renforcing essential data modeling techniques.
I’m a John Giles fan. He has the special ability to both educate and entertain at the same time. I’ve read both The Nimble Elephant and his
At Data Modeling Zone Asia Pacific 2o19, we had a roundtable discussion on rebranding the “data modeler” role. We’ve had discussions on this topic over
Executives, Managers Team Leaders, Data Consumers, Data Stewards. Business Analysts, Project Managers, Data Quality Analysts, Database Designers, Developers. Software Developers, Database and Metadata Administrators
Data Stewards. Data Architects, Database Designers, Data Administrators, Information Architect, Data Modeler
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