Data Modeling Master Class
Best Practices Approach to Developing a Competency in Data Modeling
Steve Hoberman’s Data Modeling Workshops are recognized as the most comprehensive in the industry.
Top 5 Objectives :
Who Should Attend
This workshop is designed for anyone with data, analyst, architect, developer, database and modeler in their job title. No prior knowledge is assumed.
Data modeling is about understanding the data used within our operational and analytics processes, documenting this knowledge in a precise form called the “data model”, and then validating this knowledge through communications with both business and IT stakeholders. Underlying all successful applications is a robust and precise data model, and similarly, most software development failures are due to a lack of understanding of the data or data requirements.
A data model is, therefore, an essential part of applications development including forward engineering, reverse engineering, and integration efforts. Forward engineering means focusing on business requirements, whereas reverse engineering means modeling existing systems to drive the support, replacement, or customization of applications. Integration projects such as business intelligence efforts, data lakes, and master data initiatives, require a consistent holistic view of concepts such as Customer, Account, and Product.
The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard®. You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.
Top 5 Objectives:
Assuming no prior knowledge of data modeling, we work on our first case study to illustrate four important gaps filled by data models. Next, we explore data modeling concepts and terminology, and with a set of questions. We quickly and precisely build a data model, explaining each component and gain practice reading business rules. We will complete several exercises, including creating a data model based upon an existing set of data.
You will be able to answer the following questions:
You will also learn these concepts, terms and skills:
The conceptual data model captures a business need within a well-defined scope, the logical data model captures the business solution, and the physical data model captures the technical solution. Relational, dimensional, and NoSQL techniques will be described at each of these three levels.
We will also practice building several data models, and you will be able to answer the following questions:
You will also learn these concepts, terms and skills:
Now that we know how to build a data model, we need to ensure its effectiveness within our initiatives and across our organization.
We will also practice building several data models, and you will be able to answer the following questions:
You will also learn these concepts, terms and skills:
Steve Hoberman has trained more than 10,000 people in data modeling since 1992. He is known for his entertaining and interactive teaching style (watch out for flying candy!) and is often brought in by organisations to build data skills.
Steve’s Data Modeling Master Class is recognized as the most comprehensive data modeling course in the industry. Steve is the author of nine books on data modeling, including the bestsellers The Rosedata Stone and Data Modeling Made Simple. Steve is also and the author of Blockchainopoly.
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, director of Technics Publications, lecturer at Columbia University, and recipient of the DAMA International Professional Achievement Award.
Workshop Times
Lunch and refreshments are provided.
What should I bring?
Parking
Let’s keep in touch.
