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Copy of Five Classic Data Modeling Mistakes...

Karen Lopez of InfoAdvisors.com presents on 5 classic mistakes data modelers make and gives tips on how to avoid making them.

Karen Lopez

on 1 December 2010

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Transcript of Copy of Five Classic Data Modeling Mistakes...

Five Classic Data Modeling Mistakes... & How to Avoid Them Karen Lopez, ISP
Sr Project Manager
InfoAdvisors Mistake 1: Over Modeling Signs You may be Over Modeling:
Lots of Entities with no non-key attributes
Lots of Modeling Objects with names no business user would recognize
You have a lot of trouble coming up with names for your Entities
Subtypes that have great-great-great-great grandchildren...and grandparents
Even you can't remember where a concept is supposed to be found in the model How To Avoid Over Modeling:
1. Get experience implementing your own models
2. Remember why you are modeling
3. Get a second expert opinion
4. KISS Thank You!

Karen Lopez

www.infoadvisors.com Mistake 2: Applying Surrogate Keys Too Early Mistake 3: Making Unplanned Changes Mistake 4: All Flags Are Evil Mistake 5: Not Sharing www.infoadvisors.com Early Use of Surrogate Keys:
Obscures business rules
Hides granularity
Leads to redundant relationships You may be Applying Surrogate Keys Too Early If You:
Apply them before creating new entities
Apply them before creating relationships
Think about performance before business needs
Have no idea what the Alternate Keys should be How To Avoid Early Surrogate Keys
Don't worry about multi-part PKs until Design Time
Focus on Business Rule confirmation first, then Performance
Apply to Physical Models
Identify AKs at the SAME TIME You Might not See All Your Changes:
Data Models are More than Diagrams
It's all Relative
We're Human...most of us, anyway
Compare is how you see changes Don't Use Design Standards for Requirements Standards Be wary of the guy who rates himself an "eleven" out of "ten" Cut & Paste is not Compare Be wary of the "Nexter" - the modeler who just clicks "next" until the dialog goes away.. How to Avoid Unplanned Changes:
Require a Compare before check in
Require a Compare report before releases
Consider using automated change monitoring, too. Never doubt that a small group of thoughtful, committed people can change the world. Indeed, it is the only thing that ever has.
-Margaret Mead All Flags are Evil?
What are the possible values?
Often avoid recording the real data
Almost always redundant How to Avoid Flags:
Create the "real" attributes
Question every flag
Ask why they are needed ~75% of all Flag requests I receive are already derivable from existing attributes There are only two things a child will share willingly; communicable diseases and its mother's age.
-Benjamin Spock, “Dr. Spock's Baby and Child Care” How to Avoid Not Sharing Models:
Make them available in a variety of formats
Make them available on demand/self service
Make them searchable
Make them transportable
Make them easy to use and incorporate into other works
Publish and provide HTML Model Reports You May be Avoiding Sharing If:
No one asks questions about data models
You throw models (or just DDL) over the wall
You don't like taping printouts together
You don't get any model feedback 1. Model Just Enough to Support Current and Probable Requirements
2. Use Business Identifiers at Requirements Time
3. Ensure All Changes are Planned
4. Avoid Flags
5. Share! SuspendedFlag
FlagFlag 62,000 objects
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