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Inside Microsoft SQL Server 2008 : T-SQL querying /
Master the mechanics behind advanced querying and tuning - for faster, more scalable code. Tackle the toughest set-based querying and query tuning problems - guided by an author team with in-depth, inside knowledge of T-SQL. Deepen your understanding of architecture and internals - and gain practica...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Redmond, Wash. :
Microsoft Press,
©2009.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a Inside Microsoft SQL Server 2008 : |b T-SQL querying / |c Itzik Ben-Gan [and others]. |
| 260 | |a Redmond, Wash. : |b Microsoft Press, |c ©2009. | ||
| 300 | |a 1 online resource (xxiv, 798 pages) : |b illustrations | ||
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| 500 | |a Includes index. | ||
| 505 | 0 | |a Chapter 1: Logical Query Processing -- Chapter 2: Set Theory and Predicate Logic -- Chapter 3: The Relational Model -- Chapter 4: Query Tuning -- Chapter 5: Algorithms and Complexity -- Chapter 6: Subqueries, Table Expressions and Ranking Functions -- Chapter 7: Joins and Set Operations -- Chapter 8: Aggregating and Pivoting Data -- Chapter 9: TOP and APPLY -- Chapter 10: Data Modification -- Chapter 11: Querying Partitioned Tables -- Chapter 12: Graphs, Trees, Hierarchies and Recursive Queries -- Appendix A: Logic Puzzles. | |
| 520 | |a Master the mechanics behind advanced querying and tuning - for faster, more scalable code. Tackle the toughest set-based querying and query tuning problems - guided by an author team with in-depth, inside knowledge of T-SQL. Deepen your understanding of architecture and internals - and gain practical approaches and advanced techniques to optimize your code's performance. Discover how to: move from procedural programming to the language of sets and logic, optimize query tuning with a top-down methodology, assess algorithmic complexity to predict performance, compare data-aggregation techniques, including new grouping sets, manage data modification - insert, delete, update, merge - for performance, write more efficient queries against partitioned tables, work with graphs, trees, hierarchies, and recursive queries, and use pure-logic puzzles to sharpen your problem-solving skills. | ||
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