Oracle 10g Data Warehousing by Lilian Hobbs PhD, Susan Hillson MS in CIS Boston

By Lilian Hobbs PhD, Susan Hillson MS in CIS Boston University, Visit Amazon's Shilpa Lawande Page, search results, Learn about Author Central, Shilpa Lawande, , Pete Smith

Oracle 10g information Warehousing is a consultant to utilizing the information Warehouse positive aspects within the most up-to-date model of Oracle -Oracle Database 10g. Written by means of humans at the Oracle improvement crew that designed and carried out the code and via individuals with adventure enforcing warehouses utilizing Oracle expertise, this completely up to date and prolonged variation presents an insider's view of the way the Oracle Database 10g software program is healthier used to your application.It offers an in depth examine the recent good points of Oracle Database 10g and different Oracle items and the way those are utilized in the knowledge warehouse. This booklet will enable you installation the Oracle database and properly use the recent Oracle Database 10g beneficial properties in your facts warehouse. It includes walkthroughs and examples on the way to use instruments corresponding to Oracle Discoverer and experiences to question the warehouse and generate studies that may be deployed over the net and achieve higher perception into your business.This how-to consultant offers step-by-step directions together with reveal captures to provide help to layout, construct and optimize functionality of the information warehouse or info mart. it's a 'must have' reference for database builders, directors and IT pros who are looking to get to paintings now with all the most modern good points of Oracle Database 10g. It presents a close examine the hot gains of Oracle Database 10g and different Oracle items and the way those are utilized in the knowledge warehouse, including:* the way to use the precis administration good points, together with Materialized perspectives and question rewrite, to most sensible impact to greatly enhance question functionality* the best way to install company intelligence to the internet to fulfill state-of-the-art altering and critical company standards* utilizing Oracle OLAP and knowledge Mining concepts* how one can comprehend the warehouse atmosphere and the way it truly is utilized by new beneficial properties within the database together with the way to enforce a excessive availability warehouseenvironment* utilizing the new administration infrastructure in Oracle Database 10g and the way this lets you deal with your warehouse atmosphere

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In Oracle Applications, both OLTP and decision support and reporting are being done in the same Oracle instance, using RAC. It is no longer necessary to have a separate relational, OLAP, data mining, or ETL engine. This greatly simplifies the operation and management of the data warehouse infrastructure. Of course, there is still the need to integrate data from many sources— until all the data is stored within one Oracle database. Chapter 1 TEAM LinG - Live, Informative, Non-cost and Genuine! 7 Summary Summary We’ve gone from the mainframe in the 1970s to the minicomputers in the 1980s to client/server in the 1990s.

They have either: 1. Never designed a database before 2. Designed a database for a transaction processing–type system 3. Built a data warehouse system In the latter case, you could skip this chapter or use it as a refresher, especially if your last database used Oracle. Therefore, this chapter is aimed at readers who fall into categories one or two, which may surprise the person who has previously designed a non-data warehouse database. Why? Because the skills and techniques used to create a database for a data warehouse will be different from those required for a transaction processing– type (OLTP) system.

Since the publication of the specification, many of the data warehousing products have evolved to adhere to the standard. TEAM LinG - Live, Informative, Non-cost and Genuine! 3 19 Increasing Data Volume One of the biggest technology issues facing enterprises today is the explosion of data volumes. Data warehouses are “the” very large databases. In fact, at the time of writing this book in 2004, the world’s largest commercial data warehouse, identified by the 2003 Winter Corporation Top Ten Survey, was built using Oracle, containing 30 terabytes of data.

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