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Corporate information factory ebook

Bill Inmon created corporate the.
The result factory was a great thirst for information.
Associate corporate edition with work OL12006570W added LibraryThing.
The thirst for information from legacy corporate applications fostered the data information warehouse environment.
As indicated, with a data virtualization server, the data consumers are decoupled from the data stores.Bill Inmon, there are no affiliations available.Easier maintenance of meta data specifications: Unfortunately, with most reporting and analytical tools, descriptive and transformative specifications cant be shared.Google Scholar, springer ScienceBusiness Media New York 2003, authors and Affiliations.The reports queries can be redirected through the data virtualization server to that other data store.As indicated, because a data virtualization server separates data consumers from data stores, replacing an existing ebook data store technology with a new one is relatively easy and has corporate no impact on the reports, except for a better performance.But even if the data is old, it doesnt always mean users dont want to access it anymore.

Design dimensional databases that watermark are easy to understand and editor provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition.
As indicated in Chapter 1, in a data editor virtualization server, data is transformed and integrated when the data is being accessed: on-demand transformation.
The effect is that new user requirements and demands can be implemented faster.So even if some users use SAP/Business Objects and others use SpagoBI, they see the same data.Most reporting and analytical tools require meta data specifications to be entered before reports can be developed.Again, the data virtualization server transparently hides the fact that some data has been archived.The data virtualization server hides all the specifics of a particular database technology.Online applications processed business transactions watermark and became essential to the day to day running of the corporation.The advantages resulting from shared meta data specifications are as follows: Increased speed of report development: Because most specifications already exist within the data virtualization server and can be reused, it takes less time to develop a new report.This step-by-step guide will enable readers editor to connect their legacy systems with the data warehouse and deal with a host of new and changing technologies, including Web gratis access mechanisms, e-commerce systems, ERP (Enterprise Resource Planning) systems.When those data stores are removed, existing reports have to be redirected editor to another data store, which is easy to do with a data virtualization server.