Data Model Quality

Running head: DATA MODEL QUALITY 1
Data model Quality
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DATA MODEL QUALITY 2
A post on my view on “Data Model Patterns”
Data model is currently applied in almost every industry due to the ease of using it in
databases. It is construed as the process that enables one to make sense of his data by defining
and classifying it, developing standard definition or descriptors so that the data can be used by all
information system in an association (Patel, & Patel, 2012). As such it has become a critical
aspect in database development and management. For the purpose of this assignment, I picked a
book on “Data Model Patterns” by Hay David from online library that is one of my favorite
books. I got motivated to share my view on the book in this particular article.
Before we dive into the details of the book, we will first have a glance at the author’s
brief bio. Hay David has pioneered in processing and use of data models while supporting
strategic planning and system design from 1970. He has also developed basic patterns for data
modeling. Moreover, the author is a data management, modeling and semantics speaker that is
recognized internationally. He has also authored “Requirement analysis” from a business
perspective to architectural perspective.
David Hay has done an exceptional job by extracting the essence of each thing so as to
deal with it as an abstraction. Following this great job, a much simpler and powerful data model
that are independent on cosmetic variation has been achieved. According to David, learning the
data modeling techniques is not the same as learning how to use it and apply it (Hay, 2013). The
book provides a foundational work on data modeling, it is structured into twelve chapters.
Each of the book’s chapter draws high level data model from the following perspectives:
the corporate and its world, the corporate’s things, procedures and activities, accounting,