The Nimble Elephant: Agile Delivery of Data Models Using a Pattern-Based Approach

by John Giles

Overview

Leverage data model patterns during agile development to save time and build more robust applications.

"Get it done well and get it done fast" are twin, apparently opposing, demands. Data architects are increasingly expected to deliver quality data models in challenging timeframes, and agile developers are increasingly expected to ensure that their solutions can be easily integrated with the data assets of the overall organization. If you need to deliver quality solutions despite exacting schedules, "The Nimble Elephant" will help by describing proven techniques that leverage the libraries of published data model patterns to rapidly assemble extensible and robust designs. The three sections in the book provide guidelines for applying the lessons to your own situation, so that you can apply the techniques and patterns immediately to your current assignments.

The first section, Foundations for Data Agility, addresses some perceived aspects of friction between "data" and "agile" practitioners. As a starting point for resolving the differences, pattern levels of granularity are classified, and their interdependencies exposed. A context of various types of models is established (e.g. conceptual / logical / physical, and industry / enterprise / project), and you will learn how to customize patterns within specific model types.

The second section, Steps Towards Data Agility, shares guidelines on generalizing and specializing, with cautions on the dangers of going too far. Creativity in using patterns beyond their intended purpose is encouraged. The short-term "You Ain't Gonna Need It" (YAGNI) philosophy of agile practitioners, and the longer-term strategic perspectives of architects, are compared and evaluated. Consideration is given to the potential of enterprise views contributing to project-specific models. Other topics include industry models, iterative modeling, creation of patterns when none exist, and patterns for rules-in-data. The section ends with a perspective on the modeler's possible role in agile projects, followed by a case study.

The final section, A Bridge to the Land of Object Orientation, provides a pathway for re-skilling traditional data modelers who want to expand their options by actively engaging with the ranks of object-oriented developers.

Product Details

ISBN-13:	9781935504252
Publisher:	Technics Publications, LLC
Publication date:	04/10/2012
Edition description:	TECHNICS PUBLICATIONS LLC
Pages:	254
Product dimensions:	7.90(w) x 9.90(h) x 0.70(d)

About the Author

John Giles is an independent consultant, focusing on information architecture, but with a passion for seeing ideas taken to fruition. He has worked in the industry since the late 1960s, across many industries. He is a Fellow in the Australian Computer Society, and completed a Master's degree at RMIT University, with a minor thesis comparing computational rules implementations using traditional and object-oriented platforms. John Giles lives in Melbourne, Australia with his wife, and can be reached via [e-mail].

Table of Contents

FOUNDATIONS FOR DATA AGILITY 5
CHAPTER 1: Understanding the Agile versus Architecture Civil War 7
CHAPTER 2: Understanding Pattern Aggregations 25
CHAPTER 3: Understanding Pattern Variations 39
CHAPTER 4: Understanding Model Types 69

STEPS TOWARDS DATA AGILITY 77
CHAPTER 5: Test the Levels of Generalization 79
CHAPTER 6: Use Patterns Beyond Their Intended Purpose 89
CHAPTER 7: Consider the Longer-term Picture 99
CHAPTER 8: Start with Enterprise Integration Patterns 111
CHAPTER 9: Benchmark Against Wider Standards 123
CHAPTER 10: Challenge the Concepts of the Enterprise 129
CHAPTER 11: Iterate, Iterate, Iterate 143
CHAPTER 12: When Patterns Don't Exist 155
CHAPTER 13: Rules in Data with Decision Tables 163
CHAPTER 14: Going Further with Rules in Data! 173
CHAPTER 15: Save Your Career, Save Our Profession, Save the World? 185
CHAPTER 16: Case Study 197

A BRIDGE TO THE LAND OF OBJECT ORIENTATION 209

Editorial Reviews

I'm delighted to see that John has put his extensive experience and broad knowledge of data modeling into print! John's ability to simplify the complex, and to share his knowledge and enthusiasm and humor with colleagues, comes through in this very useful and readable book. I recommend it to anyone working with data. -- Monika Remenyi, Senior Data Architect, Telstra "Book endorser"

From the Publisher