Data Warehousing and Mining

Oracle Database 10g Data Warehousing

Oracle 10g Data Warehousing is a guide to using the Data Warehouse features in the latest version of Oracle Oracle Database 10g. Written by people on the Oracle development team that designed data warehousing and mining and implemented the code data warehousing and mining and by people with industry experience implementing warehouses using Oracle technology, this thoroughly updated data warehousing and mining and extended edition provides an insider s view of how the Oracle Database 10g software is best used for your application. It provides a detailed look at the new features of Oracle Database 10g data warehousing and mining and other Oracle products data warehousing and mining and how these are used in the data warehouse. This book will show you how to deploy the Oracle database data warehousing and mining and correctly use the new Oracle Database 10g features for your data warehouse. It contains walkthroughs data warehousing and mining and examples on how to use tools such as Oracle Discoverer data warehousing and mining and Reports to query the warehouse data warehousing and mining and generate reports that can be deployed over the web data warehousing and mining and gain better insight into your business. This how-to guide provides step by step instructions including screen captures to make it easier to design, build data warehousing and mining and optimize performance of the data warehouse or data mart. It is a must have reference for database developers, administrators data warehousing and mining and IT professionals who want to get to work now with all of the newest features of Oracle Database 10g. It provides a detailed look at the new features of Oracle Database 10g data warehousing and mining and other Oracle products data warehousing and mining and how these are used in the data warehouse, including: * How to use the Summary Management features, including Materialized Views data warehousing and mining and query rewrite, to best effect to radically improve query performance * How to deploy business intelligence to the Web to satisfy today s changing data warehousing and mining and demanding business requirements * Using Oracle OLAP data warehousing and mining and Data Mining options * How to understand the warehouse hardware environment data warehousing and mining and how it is used by new features in the database including how to implement a high availability warehouse environment * Using the new Copyright (C) Muze Inc. 2005. Fo
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Database Modeling And Design

Database systems data warehousing and mining and database design technology have undergone significant evolution in recent years. The relational data model data warehousing and mining and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, data warehousing and mining and data mining. How do you model data warehousing and mining and design your database application in consideration of new technology or new business needs? In the extensively revised fourth edition, you ll get clear explanations, lots of terrific examples data warehousing and mining and an illustrative case, data warehousing and mining and the really practical advice you have come to count on-- with design rules that are applicable to any SQL-based system . But you ll also get plenty to help you grow from a new database designer to an experienced designer developing industrial-sized systems. + a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification data warehousing and mining and conceptual modeling--with examples throughout the book in both approaches! + the details data warehousing and mining and examples of how to use data modeling concepts in logical database design, data warehousing and mining and the transformation of the conceptual model to the relational model data warehousing and mining and to SQL syntax; + the fundamentals of database normalization through the fifth normal form; + practical coverage of the major issues in business intelligence--data warehousing, OLAP for decision support systems, data warehousing and mining and data mining; + examples for how to use the most popular CASE tools to handle complex data modeling problems. + Exercises that test understanding of all material, plus solutions for many exercises. Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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datawarehousingandmining

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