2014
Infinite Skills
Michael Blaha
8:00
English
In this Learning Data Modeling training course, expert author Michael Blaha will teach you how to build data models, as well as prepare a data model for simple problems. This course is designed for users that have some programming experience, however, no data modeling experience is needed.
You will start by learning about the data modeling development process, then jump into basic and advanced data modeling. From there, Michael will teach you how to create a UML data model, including finding classes, adding attributes, and simplifying the model. This video tutorial also covers how to translate a UML data model into an IE data model, model quality, the different kinds of data models, and database design. You will also learn how to create an SQL server database, an MS-Access database, and develop frameworks. Finally, Michael will teach you about data modeling patterns and database reverse engineering.
Once you have completed this computer based training course, you will be fully capable of creating your own data models. Working files are included, allowing you to follow along with the author throughout the lessons.
01. Getting Started
0101 About The Course
0102 About The Author
0103 What Is A Database?
0104 What Is A Data Model?
0105 How To Access Your Working Files
02. Data Model Development Process
0201 Data Model Inputs And Outputs
0202 Data Model Notations
0203 UML Versus IE - Conceptual, Logical And Physical
03. Basic Data Modeling
0301 Class And Attribute
0302 Operation
0303 Domain
0304 Association
0304 IE Entity Type And Relationship Type
0305 Association Name
0306 Association End
0307 Multiplicity - UML
0308 Multiplicity - IE
0309 Generalization - UML
0310 Generalization - IE
0311 Abstract Versus Concrete Superclass
0312 Practical Tips
0313 Self Assessment Test
04. Advanced Data Modeling
0401 Identity
0402 Derived Data
0403 Current Versus Historical Data
0404 Association Class
0405 Ordered Association
0406 Qualified Association - UML
0407 Qualified Association - IE
0408 Large Taxonomies
0409 Package
0410 Abridged UML Metamodel
0411 Abridged IE Metamodel
0412 Modeling Pitfalls
0413 Practical Tips
0414 Self Assessment Test
05. Create A UML Data Model
0501 Problem Statement
0502 Finding Classes
0503 Finding Associations - Part 1
0504 Finding Associations - Part 2
0505 Finding Generalizations
0506 Iterating And Refining The Model - Part 1
0507 Iterating And Refining The Model - Part 2
0508 Adding Attributes
0509 Cleaning Up Layout
0510 Simplifying The Model
0511 Evolving A Model - Part 1
0512 Evolving A Model - Part 2
0513 Enterprise Architect Techniques - Part 1
0514 Enterprise Architect Techniques - Part 2
0515 Enterprise Architect Techniques - Part 3
06. Translate A UML Data Model Into An IE Data Model
0601 Creating Subject Areas
0602 Creating Entity Types
0603 Creating Domains
0604 Adding Attributes - Part 1
0605 Adding Attributes - Part 2
0606 Creating Relationship Types - Part 1
0607 Creating Relationship Types - Part 2
0608 Creating Relationship Types - Part 3
0609 Subtyping
0610 Adding Alternate Keys
0611 Cleaning Up The Layout
0612 ERwin Techniques - Part 1
0613 ERwin Techniques - Part 2
07. Model Quality
0701 Model Quality
0702 Normal Forms
0703 Constraints
0704 Hillard Graph Complexity
0705 Hoberman Data Model Scorecard
08. Kinds Of Data Models
0801 Operational Data Models
0802 Enterprise Data Models
0803 Data Warehouses - Part 1
0804 Data Warehouses - Part 2
0805 Data Warehouses - Part 3
0806 Master Data Models
09. Database Design
0901 Schema Adjustments
0902 Attribute Details - Part 1
0903 Attribute Details - Part 2
0904 Attribute Details - Part 3
0905 Primary And Alternate Keys
0906 Indexes
0907 Referential Integrity - Part 1
0908 Referential Integrity - Part 2
0909 Check Constraints - Part 1
0910 Check Constraints - Part 2
0911 Views
0912 Other Aspects Of Design
0913 Self Assessment Test
10. Create A SQL Server Database
1001 Creating A New Database
1002 Executing Schema
1003 Inspecting Metadata
1004 Loading Sample Data
1005 Querying Sample Data
11. Create An MS-Access Database
1101 Generating An ERwin Schema
1102 Creating Tables
1103 Creating Indexes
1104 Creating Constraints And Default Values
1105 Defining Foreign Keys
1106 Creating Views
1107 Loading Sample Data
1108 Querying Sample Data
12. Software Engineering
1201 Development Frameworks
1202 Agile Data Modelling
1203 Documenting A Model - Part 1
1204 Documenting A Model - Part 2
1205 Presenting A Model
13. Data Modeling Patterns
1301 Overview
1302 Tree - Hardcoded
1303 Tree - Simple
1304 Tree - Structured
1305 Tree - Overlapping
1306 Tree - Changing Over Time
1307 Tree - Degenerate Node and Edge
14. Database Reverse Engineering
1401 Motives
1402 Comparison With Forward Engineering
1403 Outputs
1404 Inputs
1405 Process
1406 Principles
1407 Example - Part 1
1408 Example - Part 2
15. Conclusion
1501 Wrap-Up
Download File Size:911.11 MB
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