Description
This is the eighth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com.
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(R). You will know not just how to build a data model, but how to build a data model well. Three case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.
Top 5 Objectives
- Determine how and when to use each data modeling component
- Apply techniques to elicit data requirements as a prerequisite to building a data model
- Build relational and dimensional conceptual, logical, and physical data models
- Incorporate supportability and extensibility features into the data model
- Assess the quality of a data model.
Author: Steve Hoberman
Publisher: Technics Publications
Published: 05/14/2019
Pages: 332
Binding Type: Paperback
Weight: 1.70lbs
Size: 11.00h x 8.50w x 0.69d
ISBN13: 9781634622110
ISBN10: 1634622111
BISAC Categories:
- Computers | Data Science | Data Modeling & Design
This title is not returnable