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Oracle data warehouse pdf


oracle data warehouse pdf

These programs, designed by the functional area experts, pull data from the various transactional tables and transform it into data structures optimized for xoftspy plus crack penguin multi- 12 13 dimensional query access.
EDW is the underlying data source for: Business Intelligence modules - For both ERP and CRM, pre-built business intelligence offers a shorter time to benefit empowering the workforce to set objectives, manage exceptions, understand the facts, and make the best possible decisions.
Oracle is a key contributor to the Common Warehouse Metamodel (CWM an industry standard for metadata interchange, developed through the Object Management Group (OMG and created for data warehousing.
EDW can either be installed on the same server as the Oracle E-Business Suite or on another machine.
This environment helps enterprises to achieve significant cost reduction, a better understanding of the market and the competition, and to make major improvements in customer retention and satisfaction.These tools require the definition of a common information model (a standard representation and a repository or catalog with supporting services for metadata.EDW is a common, open repository that is the foundation for Oracle s strategic and operational analytical product areas, as well as for custom analytical applications built with Oracle Express or other third party tools.Figure 2 shows the Sales Order Bookings Fact table, the key measures paragon hard disk manager 12 crack (data elements) it contains and the dimensions they can be analyzed.In reality the consolidation of the data marts rarely - if ever happens, and this precludes providing corporate-wide decision support.EDW and the Oracle E-Business Suite The transactional data created by the applications of the Oracle E-Business Suite can be loaded into EDW without any coding effort.The customers may choose to install physically the runtime warehouse in the same database instance as the Oracle E-Business Suite applications, or may create a separate dedicated database instance.In addition, EDW shares many common administration modules with the applications to minimize the management effort required to keep the data warehouse up to date when the organization changes.



EDW provides several dimensions with more than one simultaneous hierarchy to accommodate multiple functional perspectives.
These models allow analyzing the business data from multiple perspectives.
Additional demands caused by decision support queries run the risk of interfering with the systems missioncritical mainstream functionality.
Thus, data warehouses provide a consolidated historical view of the business that can be used to understand the company s problems and build predictive models.Data from multiple sources is cleansed, aligned and brought into this system.EDW is a ready-to-run data warehouse that provides shorter time-to-benefit and reduces the implementation risks and costs usually associated with data warehousing projects.EDW also allows companies to consolidate their multiple data warehouses or data marts.The implementation of effective Business Intelligence systems includes building data warehouses and data marts.A data model contains tables and relationships between tables.


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