Oracle data warehouse tuning for 10g
This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience. - Tim Donar, Author and Systems Architect for Enterprise Data W...
| Κύριος συγγραφέας: | Powell, Gavin. |
|---|---|
| Μορφή: | Ηλεκτρονική πηγή |
| Γλώσσα: | English |
| Στοιχεία έκδοσης: |
Burlingham, MA :
Elsevier Digital Press,
c2005.
|
| Θέματα: | |
| Διαθέσιμο Online: |
http://www.sciencedirect.com/science/book/9781555583354 |
| Ετικέτες: |
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| 100 | 1 | |a Powell, Gavin. | |
| 245 | 1 | 0 | |a Oracle data warehouse tuning for 10g |h [electronic resource] / |c Gavin Powell. |
| 260 | |a Burlingham, MA : |b Elsevier Digital Press, |c c2005. | ||
| 300 | |a 1 online resource (xxx, 468 p.) : |b ill. | ||
| 520 | |a This book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience. - Tim Donar, Author and Systems Architect for Enterprise Data Warehouses Tuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame. A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model. * Takes users beyond basics to critical issues in running most efficient data warehouse applications * Illustrates how to keep data going in and out in the most productive way possible * Focus is placed on Data Warehouse performance tuning. | ||
| 505 | 0 | |a Introduction to Data Warehousing; Data Warehouse Data Modeling; Making Hardware and I/O Perform in a Data Warehouse; Data Warehouse Physical Architecture; Effective Data Warehouse Indexing; Constraints and Integrity in Data Warehouses; Using Partitioning and Tuning Parallel Processing; Materialized Views and Query Rewrites; Oracle Dimension Objects; Data Loading: Extraction and Transportation; Data Loading: Loading and Transformation; SQL Aggregation Using GROUP BY Clause Extensions. | |
| 504 | |a Includes bibliographical references (p. 449-450) and index. | ||
| 650 | 4 | |a Data warehousing. | |
| 630 | 0 | 0 | |a Oracle (Computer file) |
| 655 | 4 | |a Electronic books. | |
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