Practical data design
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Practical data design

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Published by Prentice Hall in Englewood Cliffs, N.J .
Written in English

Subjects:

  • Database design.

Book details:

Edition Notes

StatementMichael H. Brackett.
Classifications
LC ClassificationsQA76.9.D26 B73 1990
The Physical Object
Paginationxxiii, 440 p. :
Number of Pages440
ID Numbers
Open LibraryOL2196305M
ISBN 100136908276
LC Control Number89015938

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This is a very practical book, which teaches you how to "make data talk to you," that is, how to extract information, quantitative and qualitative, out of your data, and make it useful beyond just s: 7. The book covers all necessary areas and topics, but I did not see an overall index. I like the idea of having key terms at the end of each section. It was a great book for database design and as an extra bonus, SQL was covered in greater detail than most texts on the subject. It is complete with section review, exercises, and solutions. Practical Research: Planning and Designis a broad-spectrum, cross-disciplinary book suitable for a wide variety of courses in research methodology. Many basic concepts and strategies in research transcend the boundaries of specific academic areas, and such concepts and strate- gies are at the heart of this book. the data in this book of considerable assistance, and the professional design engineer will also find that the items brought together here include many that will be frequently useful and which would normally be available in collected form in much larger volumes. The book has been designed to include within a reasonable space most.

This book is a worthwhile read not only for designers, but for marketers as well. Another one of the works on LinkedIn ’s list of the 10 Graphic Design Books Every Designer Should Read, this guide gives the entire branding team a toolkit for their identity. With tips and tools to create, build, and sell a brand, this book ensures the brand is on point throughout the entire process. A. Placing Data in Context; Practical Data Analysis; Collaboration in Science; Experimental Design B. Working with Groups of Data; Comparison of Groups; Comparing Several Means; Multiple Comparisons of Means C. Sorting out Effects with Data; Factorial Designs; Balanced Experiments; Model Selection D. Dealing with Imbalance; Unbalanced. Practical Data improves Yahoo! Stores with Rewards Programs, Mobile Commerce Sites, Customer Login and additional RTML enhancements. Data Mining - Practical Machine Learning Tools and Techniques The Data Science Book ; The Elements of Statistical Learning - Data Mining, Inference, Applied Design Patterns, Practical Use Cases with the Leading NoSQL Database ; MongoDB - The Definitive Guide.