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Joe Celko, "Joe Celko's Data, Measurements and Standards in SQL"

Joe Celko has looked deep into the code of SQL programmers and found a consistent and troubling pattern - a frightening lack of consistency between their individual encoding schemes and those of the industries in which they operate. This translates into a series of incompatible databases, each one an island unto itself that is unable to share information with others in an age of internationalization and business interdependence. Such incompatibility severely hinders information flow and the quality of company data.

Data, Measurements and Standards in SQL reveals the shift these programmers need to make to overcome this deadlock. By collecting and detailing the diverse standards of myriad industries, and then giving a declaration for the units that can be used in an SQL schema, Celko enables readers to write and implement portable data that can interface to any number of external application systems!

This book doesn't limit itself to one subject, but serves as a detailed synopsis of measurement scales and data standards for all industries, thereby giving RDBMS programmers and designers the knowledge and know-how they need to communicate effectively across business boundaries.

* Collects and details the diverse data standards of myriad industries under one cover, thereby creating a definitive, one-stop-shopping opportunity for database programmers.

* Enables readers to write and implement portable data that can interface to any number external application systems, allowing readers to cross business boundaries and move up the career ladder.

* Expert advice from one of the most-read SQL authors in the world who is well known for his ten years of service on the ANSI SQL standards committee and Readers Choice Award winning column in Intelligent Enterprise.

Summary: Comprehensive and user-friendly

Rating: 5

Part 1 covers the need, principles, and variety of measurement standards and Part 2 provides examples of actual standards across many industries such as language codes and phone numbers. This book is extremely informative and easy-to-read (I like Joe's writing style), and I found myself laughing out loud at several points in the book most notably around beer and Mad Magazine's metric system. As a data analyst and modeler, one of my tasks is to work with the business to understand and document existing domains as well as new and improved enterprise/industry domains. I will use this book as a reference in this endeavor.

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Rating:
2.5 out of 5 by Book123