SQL and Relational Theory, 3e (Paperback, 3 Revised Edition)

SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put that theory into practice. In this book, Chris Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can apply it to your use of SQL. This third edition has been revised, extended, and improved throughout. Topics whose treatment has been expanded include data types and domains, table comparisons, image relations, aggregate operators and summarization, view updating, and subqueries. A special feature of this edition is a new appendix on NoSQL and relational theory. Could you write an SQL query to find employees who have worked at least once in every programming department in the company? And be sure it's correct? Why is proper column naming so important? Nulls in the database cause wrong answers. Why? What you can do about it? How can image relations help you formulate complex SQL queries? SQL supports "quantified comparisons," but they're better avoided. Why? And how? Database theory and practice have evolved considerably since Codd first defined the relational model, back in 1969. This book draws on decades of experience to present the most up to date treatment of the material available anywhere. Anyone with a modest to advanced background in SQL can benefit from the insights it contains. The book is product independent.

General

Imprint:	O'Reilly Media
Country of origin:	United States
Release date:	November 2015
Authors:	C.J. Date
Dimensions:	233 x 189 x 32mm (L x W x T)
Format:	Paperback
Pages:	582
Edition:	3 Revised Edition
ISBN-13:	978-1-4919-4117-1
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Computer software packages > Computer graphics software > General Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
LSN:	1-4919-4117-0
Barcode:	9781491941171

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