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Data Warehouses

ALSO CALLED: Data Stores, Datawarehousing, Data Ware-house, Datawarehouse, Data Warehousing, Knowledge Warehouse, and Dataware House
DEFINITION: A data warehouse is a central repository for all or significant parts of the data that an enterprise's various business systems collect. The term was coined by W. H. Inmon. IBM sometimes uses the term "information warehouse."

Typically, a data warehouse is housed on an enterprise mainframe  … 
Definition continues below.



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Why You Need Data Stage Area in Building Your Enterprise Data Warehouse
sponsored by HCL Technologies Ltd.
WHITE PAPER:   Posted: 30 Jun 2008 | Published: 27 Jun 2008
SUMMARY: Staging area is the storage of data from disparate source applications prior to it being loaded into downstream Data Warehouse, Data Marts and/or Operational Data Source.

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Data quality assessment helps identify, fix data quality problems
sponsored by Informatica
PODCAST:   Posted: 26 Jun 2008 | Premiered: 26 Jun 2008, 09:00 EDT (13:00 GMT)
SUMMARY: In this 20-minute podcast, appropriate for both business and IT professionals, listeners will find out how to get a handle on data quality needs through a data quality assessment.

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Noetix: Getting Analytics to Business Users in an Oracle Applications Environment
sponsored by Noetix Corporation
WHITE PAPER:   Posted: 20 Jun 2008 | Published: 01 May 2007
SUMMARY: This IDC Vendor Profile highlights the solution offerings and market strategy of Noetix, a business intelligence software vendor.

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Automating Data Flows to Your Business Intelligence System
sponsored by Tidal Software
WHITE PAPER:   Posted: 20 Jun 2008 | Published: 01 Jun 2008
SUMMARY: This paper outlines the issues faced by BI operational staff in managing data flows to BI systems in complex environments, and discusses technologies to automate these data flows and dramatically raise the reliability and quality of BI information.

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Is a Data Warehouse the Only Option for Business Intelligence?: Seven Styles of Data Integration
sponsored by Information Builders
WHITE PAPER:   Posted: 18 Jun 2008 | Published: 01 Jan 2007
SUMMARY: This paper describes data warehouses along with many other options for placing relevant, timely information in the hands of business users.

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Reducing Total Cost of Ownership: Delivering Cost Effective Enterprise Business Intelligence
sponsored by MicroStrategy Incorporated
WHITE PAPER:   Posted: 09 Jun 2008 | Published: 01 Jun 2008
SUMMARY: This white paper explains how MicroStrategy's enterprise strength, scalable platform and self-service technology enable organizations to achieve pervasive BI at the lowest industry ownership costs.

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Critical Success Factors Deploying Pervasive BI
sponsored by MicroStrategy Incorporated
WHITE PAPER:   Posted: 09 Jun 2008 | Published: 01 Sep 2007
SUMMARY: Pervasive BI is the ability to deliver integrated right-time DW information to all users - it also provides an enterprise with the necessary visibility, insight, and facts to make smarter decisions in all processes at all times.

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Augmenting ETL Systems with GoldenGate's Change Data Capture Capabilities
sponsored by GoldenGate Software, Inc.
WHITE PAPER:   Posted: 05 Jun 2008 | Published: 01 May 2008
SUMMARY: This paper focuses on several solutions approaches for addressing this dilemma, focusing primarily on augmenting existing ETL systems with real-time change data capture (CDC) technology.

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Business-Model-Driven Data Warehousing: Keeping Data Warehouses Connected to Your Business
sponsored by Kalido
WHITE PAPER:   Posted: 04 Jun 2008 | Published: 01 Jun 2008
SUMMARY: This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process that covers not only the requirement definition and design.

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Why Companies Fail: And the Information Imperatives to Help Ensure Survivability
sponsored by Kalido
WHITE PAPER:   Posted: 04 Jun 2008 | Published: 01 Jan 2007
SUMMARY: According to recent research, detailed in this paper and analyzing the performance of the 1,000 largest U.S. companies over the past 40 years, about 80 percent of companies presently are stagnating or are in decline.

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DATA WAREHOUSES DEFINITION (continued): …  server. Data from various online transaction processing (OLTP) applications and other sources is selectively extracted and organized on the data warehouse database for use by analytical applications and user queries. Data warehousing emphasizes the capture of data from diverse sources for useful analysis and access, but does not generally start from the point-of-view of the end user or knowledge worker who may need access to specialized, sometimes local databases. The … 
Data Warehouses definition sponsored by SearchSQLServer.com, powered by WhatIs.com an online computer dictionary


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