Introduction to information and data modeling
What you'll learn
- Create information and data models at conceptual, logical and physical level
- Use Sparx Enterprise Architect as a data modeling tool
- Practice the various modeling techniques in a case based assignment
- Availabilty of a data modeling tool of your choice to create the models in the sample case, but the examples are with Sparx Enterprise Architect as data modeling tool
- Installation of the trial version of Sparx Enterprise Architect
This course draws a picture of the workfield of data modeling. Addressing the various modeling methodologies and the reasons behind choosing these different modeling methods. We will provide practical tips on how data modeling offers added value for your organisation, based on numerous backgrounds including databases, datawarehousing, messaging, software development, big data and (master) data management.
The following modeling techniques are demonstrated: Concept lists and trees, SIPOC, ArchiMate, UML class and object modeling, Entity Relationship, XSD, CRUD, RACI, OET, Data Flows, Snowflake and Star ModelsBased on a simple case you are able to practice the theory. You get examples of how to create every modeling technique discussed. Furthermore you will receive an example repository with all the modeling techniques discussed.
Who this course is for:
- Data modelers, information analysts, data architects, data owners and stewards
Bert is an independent information architect. Bert has a software engineering background and specializes in data architecture and big data, SOA and system integration, data and object modeling. Bert has a passion for architecture repositories in general and Sparx Enterprise Architect in particular. He is working on a number of applications for Enterprise Architect such as an AddOn for data modeling and the web publication platform for Sparx Enterprise Architect.