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Physical database design : the database professional's guide to exploiting indexes, views, storage, and more
Abstract
I highly recommend Physical Database Design by Lightstone, Teorey, and Nadeau. The book covers fine aspects of physical design -- issues such as the effects of different approaches to indexes, tradeoffs in materializing views, and details of physical data layout. Unlike other books, it does not focus on a particular product, but instead covers the deep principles that cut across products.
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The book addresses both transaction intensive applications (OLTP) as well as data warehouses (OLAP). Their new book is a welcome addition to the literature. --Michael Blaha, OMT Associates, Inc. This is an excellent book on physical database design, giving pragmatic models and advice. It has a wealth of information for both the student and for the practitioner -- presenting analytic models and practical tips that are demonstrated with examples using Oracle, DB2, and Microsoft SQL Server. --Jim Gray, Microsoft Research The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for system performance and administration. Physical Database Design discusses the concept of how physical structures of databases affect performance, including specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using the methods provided in the book. Features The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, 4th edition. Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft). Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more! The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, 4th edition. Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft). Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more!
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| eBook | ||
| Monografia | ||
| Description | *Physical database design : the database professional's guide to exploiting indexes, views, storage, and more / Sam Lightstone, Toby Teorey, Tom Nadeau Amsterdam ; Boston : Morgan Kaufmann/Elsevier, ©2007 1 online resource (xx, 427 pages) : illustrations |
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| Note | English. Formato pdf/epub Accesso riservato secondo le condizioni contrattuali https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=207397 |
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| ISBN | 9786611046545 | |
| 9780123693891 | ||
| 9780080552316 | ||
| 6611046542 | ||
| 0123693896 | ||
| 0080552315 | ||
| Series | The Morgan Kaufmann series in data management systems | |
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| Publication year | 2007 | |
| Contents note | 1: Introduction to physical database design -- 2: Basic indexing methods -- 3: Query optimization and plan selection -- 4: Selecting indexes -- 5: Selecting materialized views -- 6: Shared nothing partitioning -- 7: Range partitioning -- 8: Multidimensional clustering -- 9: The interdependence problem (i.e. design choices) -- 10: Data sampling in design exploration -- 11: Access plan selection and physical design -- 12: Automated physical database design -- 13: Down to the metal -- 14: Physical design for Decision Support, Warehousing and OLAP -- 15: Denormalization -- 16: Distributed Data Allocation -- Appendix A: A Simple Performance Model for Database |