Type inheritance is that phenomenon according to which we can say, for example, that every square is also a rectangle, and so properties that apply to rectangles in general apply to squares in particular.
About the Author: C.J. Date has a stature that is unique within the database industry.
569 Pages
Computers, Data Science
Description
Book Synopsis
Type inheritance is that phenomenon according to which we can say, for example, that every square is also a rectangle, and so properties that apply to rectangles in general apply to squares in particular. In other words, squares are a subtype of rectangles, and rectangles are a supertype of squares. Recognizing and acting upon such subtype / supertype relationships provides numerous benefits: Certainly it can help in data modeling, and it can also provide for code reuse in applications. For these reasons, many languages, including the standard database language SQL, have long supported such relationships. However, there doesn't seem to be any consensus in the community at large on a formal, rigorous, and abstract model of inheritance. This book proposes such a model, one that enjoys several advantages over other approaches, not the least of which it is that it's fully compatible with the well known relational model of data.
Topics the model covers include:
Both single and multiple inheritance
Scalar, tuple, and relation inheritance
Type lattices and union and intersection types
Polymorphism and substitutability
Compile time and run time binding
All of these topics are described in detail in the book, with numerous illustrative examples, exercises, and answers. The book also discusses several alternative approaches. In particular, it includes a detailed discussion and analysis of inheritance as supported in the SQL standard.
About the Author
C.J. Date has a stature that is unique within the database industry. C.J. is a prolific writer, and is well-known for his best-selling textbook: An Introduction to Database Systems (Addison Wesley). C.J. is an exceptionally clear-thinking writer who can lay out principles and theory in a way easily understood by his audience.
Dimensions (Overall): 9.19 Inches (H) x 7.0 Inches (W) x 1.16 Inches (D)
Weight: 1.98 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 569
Genre: Computers
Sub-Genre: Data Science
Publisher: O'Reilly Media
Theme: Data Warehousing
Format: Paperback
Author: Chris J Date
Language: English
Street Date: October 18, 2016
TCIN: 1013515750
UPC: 9781491959992
Item Number (DPCI): 247-52-3931
Origin: Made in the USA or Imported
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Estimated ship dimensions: 1.16 inches length x 7 inches width x 9.19 inches height
Estimated ship weight: 1.98 pounds
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