Webcast : ER/Studio Enterprise Team Edition

Geek Sync | Become a Better Data Modeler. Part 3: Tell the Story

Presenter: Steve Hoberman

Can you read a data model as seamlessly as reading a book? Join us as we tell the cardinality story, explaining how to read the one, zero, and many symbols on our data models. We will also discuss subtyping, and weak and strong entities. You will not just be listening to Steve – this will be an interactive session. We will take a challenging yet fun quiz together which will reinforce your data modeling skills!

Speaker: Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his entertaining and interactive teaching style (watch out for flying candy!), and organizations around the globe have brought Steve in to teach his Data Modeling Master Class, which is recognized as the most comprehensive data modeling course in the industry. Steve is the author of nine books on data modeling, including the bestseller Data Modeling Made Simple. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique. He is the founder of the Design Challenges group, Conference Chair of the Data Modeling Zone conferences, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award.

Experienced data modelers are important because they can create accurate, efficient, and maintainable data models that can improve decision-making and lead to cost savings for the organization:

  • Accurate representation of business processes: Experienced data modelers have the ability to create data models that accurately represent the business processes. They have domain knowledge in the area they are modeling and can understand the complexities of the business requirements. This results in data models that accurately capture the relationships between data elements and how they are used in the business processes.
  • Efficient database design: Experienced data modelers can design databases that are efficient and optimized for performance. They have knowledge of indexing strategies, normalization techniques, and other database design principles that can result in faster query execution times and better overall performance.
  • Ease of maintenance: Experienced data modelers design data models that are easy to maintain. They understand the importance of data integrity and implement mechanisms to ensure data consistency and accuracy. This results in databases that are easy to update and maintain over time.
  • Improved decision-making: Experienced data modelers create data models that can be used to make informed decisions. They can provide insights into the relationships between data elements and how they are used in the business processes. This can help stakeholders make better decisions and improve overall business performance.
  • Cost savings: Experienced data modelers can design databases that are optimized for storage and processing. This can result in cost savings by reducing the need for additional hardware or software resources.

Watch this series of videos to learn from Steve Hoberman how you can become a better data modeler:

Part 1: Data Modeling Certification
Part 2: Faulty Design Patterns
Part 3: Tell the Story
Part 4: The Power of Subtyping
Part 5: Write Effective Entity Definitions

Topics : Data Modeling,

Products : ER/Studio Enterprise Team Edition,

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