We’re happy to welcome Graham Witt, the author of a new data modeling book, Data Modeling for Quality (see https://technicspub.com/data-modeling-for-quality/ ).

Abstract:

This presentation looks at how different perspectives can skew our understanding of data, and includes
1. Ambiguous entity/attribute names
2. Issues with translation between languages and cultures
3. Misunderstanding of classification schemes or coding schemes
4. The importance of definitions
5. The difference between real-world and data rules
6. Communicating data update requirements and data-driven rules to developers
7. Issues with time-variant data.

Speaker:

Graham Witt has over 35 years of experience in using data modelling and business rule analysis to assist enterprises to acquire effective IT solutions. He has presented papers at conferences in Australia, the US, the UK, France and Germany, as well as meetings of professional societies in Australia and the US, and has developed and delivered training courses in data modelling and business rules in Australia, the US and Canada. He co-authored with Graeme Simsion the widely-used textbook Data Modeling Essentials, Morgan Kaufmann published his book Writing Effective Business Rules in February 2012, and Technics Publications has just published his latest book Data Modeling for Quality.

Agenda:

12:00 Welcome
12:05 Communication Breakdown (Graham Witt)
12:50 Discussion & Conclusion

Christian Kaul

Data Modeling Meetup Munich (DM3)

Career & Business

Data Modeling

Data Vault Database Modeling

Agile Data Warehousing

Requirements Engineering

Business Intelligence & Data Warehousing

Data Architecture

Data Analytics

Business Intelligence

Lunch & Learn: Communication Breakdown with Graham Witt (English)

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Data Modeling Meetup Munich (DM3)

Lunch & Learn: Communication Breakdown with Graham Witt (English)

Data Modeling Meetup Munich (DM3)

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