Data Engineering

If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior.

The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish for detailed data flow diagrams means a concrete understanding of the business’ value chain exists and is documented. The wish to understand how we think means excellent team dynamics while analyzing, designing, and building the application.

Why search the beaches for genie lamps when instead you can read this book? Learn the skills required for modeling, value chain analysis, and team dynamics by following the journey the author and son go through in establishing a profitable summer lemonade business. This business grew from season to season proportionately with his adoption of important engineering principles. All of the concepts and principles are explained in a novel format, so you will learn the important messages while enjoying the story that unfolds within these pages.

The story is about an old man who has spent his life designing data models and databases and his newly adopted son. Father and son have a 54 year age difference that produces a large generation gap. The father attempts to narrow the generation gap by having his nine-year-old son earn his entertainment money. The son must run a summer business that turns a lemon grove into profits so he can buy new computers and games. As the son struggles for profits, it becomes increasingly clear that dad’s career in information technology can provide critical leverage in achieving success in business. The failures and successes of the son’s business over the summers are a microcosm of the ups and downs of many enterprises as they struggle to manage information technology.

1118001974
Data Engineering

If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior.

The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish for detailed data flow diagrams means a concrete understanding of the business’ value chain exists and is documented. The wish to understand how we think means excellent team dynamics while analyzing, designing, and building the application.

Why search the beaches for genie lamps when instead you can read this book? Learn the skills required for modeling, value chain analysis, and team dynamics by following the journey the author and son go through in establishing a profitable summer lemonade business. This business grew from season to season proportionately with his adoption of important engineering principles. All of the concepts and principles are explained in a novel format, so you will learn the important messages while enjoying the story that unfolds within these pages.

The story is about an old man who has spent his life designing data models and databases and his newly adopted son. Father and son have a 54 year age difference that produces a large generation gap. The father attempts to narrow the generation gap by having his nine-year-old son earn his entertainment money. The son must run a summer business that turns a lemon grove into profits so he can buy new computers and games. As the son struggles for profits, it becomes increasingly clear that dad’s career in information technology can provide critical leverage in achieving success in business. The failures and successes of the son’s business over the summers are a microcosm of the ups and downs of many enterprises as they struggle to manage information technology.

19.95 In Stock
Data Engineering

Data Engineering

by Brian Shive
Data Engineering

Data Engineering

by Brian Shive

Paperback

$19.95 
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Overview

If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior.

The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish for detailed data flow diagrams means a concrete understanding of the business’ value chain exists and is documented. The wish to understand how we think means excellent team dynamics while analyzing, designing, and building the application.

Why search the beaches for genie lamps when instead you can read this book? Learn the skills required for modeling, value chain analysis, and team dynamics by following the journey the author and son go through in establishing a profitable summer lemonade business. This business grew from season to season proportionately with his adoption of important engineering principles. All of the concepts and principles are explained in a novel format, so you will learn the important messages while enjoying the story that unfolds within these pages.

The story is about an old man who has spent his life designing data models and databases and his newly adopted son. Father and son have a 54 year age difference that produces a large generation gap. The father attempts to narrow the generation gap by having his nine-year-old son earn his entertainment money. The son must run a summer business that turns a lemon grove into profits so he can buy new computers and games. As the son struggles for profits, it becomes increasingly clear that dad’s career in information technology can provide critical leverage in achieving success in business. The failures and successes of the son’s business over the summers are a microcosm of the ups and downs of many enterprises as they struggle to manage information technology.


Product Details

ISBN-13: 9781935504603
Publisher: Technics Publications
Publication date: 11/01/2013
Pages: 116
Product dimensions: 0.25(w) x 8.00(h) x 0.40(d)

Table of Contents

Chapter 1: A Data Modeling Story 3
Value Chains and Data Models 6
Value Chain Analogies 8
Chapter 2: Value Chain and Data Model States 11
Designs for Airplanes 12
Value Chain Components 12
Data Model Components 13
The Burger Bun Conceptual Value Chain and Data Model 15
Chapter 3: The Value Chain for Designing and Building, Called Engineering 19
The Value Chain for House Designing 20
Level 1 - Defining the Scope 20
Level 2 - Designing the Owner's View 21
Level 3 - Designing the Architect's View 21
Level 4 - Designing the Builder's View 21
Level 5 - Designing the Sub-Contractor's View 22
Level 6 - Appreciating the Finished House 22
The Value Chain for Software Engineering 22
Level 1 - Defining the Scope 23
Level 2 - Designing the Owner's View 23
Level 3 - Designing the Logical Information System Designer's View 24
Level 4 - Designing the Physical Information System Designer's View 24
Level 5 - Building the Developer's and Tester's View 25
Level 6 - Appreciating the Finished System 25
Models of the Real World 26
Chapter 4: Tabular Data Storage 29
Abstraction 30
Today's Project: Badminton 33
Conceptual Data Model 33
Logical Data Model 35
Data Model Evolution 37
Over-Abstraction 41
Physical Data Models 42
Chapter 5: Data Model Components 43
Uniqueness Constraints 43
Relationships 45
Identifying vs. Non-identifying Relationships 47
One-to-Many Relationships 50
Many-to-Many Relationships 50
Recursive Relationships 51
Occam's Razor for Relationship Design 57
Classification Hierarchies 58
One-to-One Peer to Peer Relationships 61
Modeling Time and Historical Events 62
Static Entities 62
Dynamic Historical Entities 63
Normalization 67
First Normal Form 68
Second Normal Form 68
Third Normal Form 69
Normalization of Intersections 70
Master Data, Transactional Data, and Measurement Data 73
Chapter 6: Luke's Lemons, Inc. Business and Data Model 75
Season #1 Business Plan 75
Conceptual Value Chain Model 75
Conceptual Data Model 76
Logical Data Model 77
Physical Data Model 80
Season #2 Business Plan 81
Conceptual Value Chain Model 83
Conceptual Data Model 85
Logical Data Model 85
Physical Data Model 87
Season #3 Business Plan 90
Conceptual Value Chain Model 95
Conceptual Data Model 97
Logical Value Chain Model 99
Logical Data Model 100
Business Intelligence 102
Data Model for Data Modeling and Value Chain 104
Forward Engineering the To-Be Business and System 104
Reverse Engineering the As-Is Business and System 105
Fast Forward 105
Boy Scouts 105
Job Before College 105
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