Cantitate/Preț
Produs

SQL Tuning: O'Reilly Ser.

Autor Dan Tow
en Limba Engleză Paperback – 25 noi 2003
Dan Tow outlines a timesaving method he has developed for finding the optimum execution plan -rapidly and systematically- regardless of the complexity of the SQL or the database platform being used. You'll learn how to understand and control SQL execution plans and how to diagram SQL queries to deduce the best execution plan for a query
Citește tot Restrânge

Din seria O'Reilly Ser.

Preț: 19028 lei

Preț vechi: 23785 lei
-20% Nou

Puncte Express: 285

Preț estimativ în valută:
3642 3783$ 3025£

Carte disponibilă

Livrare economică 11-25 ianuarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780596005733
ISBN-10: 0596005733
Pagini: 336
Dimensiuni: 177 x 232 x 22 mm
Greutate: 0.54 kg
Editura: O'Reilly
Seria O'Reilly Ser.

Locul publicării:United States

Notă biografică

Dan Tow is an independent consultant, operating under the banner SingingSQL (www.singingsql.com). His experience solving Oracle-related performance problems goes all the way back to his 1989 hire by Oracle Corporation. During most of his tenure at Oracle, Dan focused on the performance of Oracle Applications, managing the performance group for that division. In this role, he found a fertile testing ground for his SQL tuning method applied to the huge set of complex SQL included in those applications, including both online SQL and diverse batch processes. In 1998, Dan left Oracle to lead performance for TenFold Corporation, where he applied the same methods to tuning questions on DB2, and SQL Server, and Sybase, as well as on Oracle. In 2002, Dan started his own business, SingingSQL, through which he offers diverse database-related tuning services, including SQL tuning and systematically analyzing load to learn which SQL should be tuned. He has introduced his SQL tuning method to over 1,000 people in short lectures, and now offers in-depth courses in the material, using this book as textbook. Dan has a Ph.D. in chemical engineering from the University of Wisconsin at Madison. He lives in Palo Alto, California, and can be reached at dantow@singingsql.com.