Data modeling by examples with django 4.0 Models Part 1

In this video, I demonstrated concrete examples of data modeling from a business standpoint to solving problems. I modeled my physical entities/models using the Django model that enables fast schema creation and modification. I explained concepts such as business objectives and business requirements. What are the differences; demonstrate creating table constraints and what are they, indexes; when should you consider having an index versus having more indexes? I used validators to validate attributes when inserting data into the database. Where do the validations come from, and why are they necessary for your tables?

04:39 Conceptual data
05:32 Logical data model
06:01 Physical data model
06:59 Demo: Modeling data in django
07:39 Create new app banking to demonstrate data modeling
08:48 Start modeling Customer relation in django
16:30 Create a validator function with regular expression in django
36:34 Add a django model to the default admin site
37:30 Insert and validate customer data using django admin site
42:01 Start modeling account entity
58:57 Start Modeling Campaign entity

#datamodeling #djangomodels #physicalmodel #logicalmodel