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Joe Celko's Data, Measurements and Standards in SQL (Morgan Kaufmann Series in Data Management Systems) 1st Edition

3.7 out of 5 stars 3 customer reviews
ISBN-13: 978-0123747228
ISBN-10: 0123747228
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Editorial Reviews

Review

"Unique? Without question. To my knowledge there is nothing out there quite like this. Further, based on his previous books, Joe is eminently qualified to put these "external world" ideas (standard codes used in industry) into the context of relational databases and SQL."--Rudy Limeback - An independent SQL Consultant

"This book focuses on the problems of standardization and the related problems of measurements. It is clearly intended to encourage designers to at least be aware of the problems, before their database designs go live."--Computing Reviews

From the Back Cover

Joe Celko has looked deep into the code of SQL programmers and found a 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. This book reveals the shift 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, Joe enables readers to write and implement portable data that can interface to any number of external application systems!

  • 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
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Product Details

  • Series: Morgan Kaufmann Series in Data Management Systems
  • Paperback: 309 pages
  • Publisher: Morgan Kaufmann; 1 edition (October 1, 2009)
  • Language: English
  • ISBN-10: 0123747228
  • ISBN-13: 978-0123747228
  • Product Dimensions: 7.5 x 0.7 x 9.2 inches
  • Shipping Weight: 1.2 pounds (View shipping rates and policies)
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #2,368,337 in Books (See Top 100 in Books)

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Top Customer Reviews

By Mike Blaszczak on March 21, 2011
Format: Paperback Verified Purchase
The marketing speak in the description of this book is a bit confusing, and I worry that it leaves potential buyers unaware of what the book is really about. The book's title doesn't help much in this regard, either.

Database store data -- everyone knows that. There is some art in properly modeling and typing data so that it is represented consistently, flexibly, and efficiently in a database. This book endeavors to catalog different commonly used types of data, suggest an appropriate representation for that data, and describe the implementation of that representation as applied in a SQL database management server.

The first half of the book discusses different approaches that, in general, can help with the storage and representation of data. What are different approaches to help us handle data that's obvious bad or out of bounds? How can we best encode different data? What are good ways to represent values of vastly different scale? How can we efficiently validate certain types of data?

The advice presented in these first chapters makes it easy to extend the ideas of validation, storage, and efficient reference to any data type the user might encounter.

The balance of the book is divided into short chapters that examine different types of data. The book describes standards that influence the data stored; for example, for storing postal codes, the author examines Canadian, US, and UK schemes and discusses how they can be best represented and validated in a database. Clothing sizes are discussed by visiting the different dimensions and industry standards which govern the measurement and specification of these dimensions. All in all, more than 35 different types of data, ranging from spatial information to personal attributes, are examined.
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Format: Paperback
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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Format: Paperback
The title review pretty much says it all for me, and the title of the book is a bit misleading as to the content you're actually getting. Not at all what I was hoping for.
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