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Data Warehouses

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ALSO CALLED: Data Stores, Datawarehousing, Data Ware-house, Datawarehouse, Data Warehousing, Knowledge Warehouse, 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 server. Data from various online transaction processing (OLTP) applications and other sources is selectively  … 
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Data Warehouses Multimedia (View All Report Types)
13 Matches
Podcast: Data Warehousing Basics for SQL Server Analysis Services
sponsored by Flowerfire, Inc.
PODCAST: In this expert podcast, learn how to build your data warehouse for your SQL Server environment. Discover the necessary steps involved and learn about major concepts, including relational data warehousing and supported SQL Server Analysis Services (SSAS) storage formats.
Posted: 13 Nov 2009 | Premiered: 13 Nov 2009


Data Warehousing Basics for SQL Server Analysis Services
sponsored by Flowerfire, Inc.
WEBCAST: In this expert webcast, learn how to build your data warehouse for your SQL Server environment. Discover the necessary steps involved and learn about major concepts, including relational data warehousing and supported SQL Server Analysis Services (SSAS) storage formats.
Posted: 13 Nov 2009 | Premiered: 13 Nov 2009


Don't Fight Your Data Modeling Tool: Migrate from CA Erwin to Embarcadero ER/Studio
sponsored by Embarcadero Technologies, Inc.
WEBCAST: In this webcast, learn how two leading data modeling tools compare and how utilizing advanced data modeling improves productivity, standards compliance and knowledge sharing.
Posted: 05 Nov 2009 | Premiered: 05 Nov 2009


Business Intelligence Solution for Web Infrastructure Open the Door to Better Decisions
sponsored by Sun Microsystems, Inc.
WEBCAST: Composed of Sun hardware systems and commercial open-source solutions Pentaho for BI and data integration, and Infobright, built on MySQL, for data warehousing, this solution comes in two customizable recommended configurations to fit your data requirements and budget -- and ease deployment.
Posted: 26 Oct 2009 | Premiered: 26 Oct 2009


The Case for Investing in Business Analytics Technology
sponsored by SAS Institute Inc.
WEBCAST: Tune in to this webcast – featuring insights from Dan Vesset, IDC's Vice President of Business Analytics – and learn how business analytics drives customer retention.
Posted: 23 Oct 2009 | Premiered: 23 Oct 2009


In-database Analytics Demystified
sponsored by Sybase, Inc.
PODCAST: In this podcast, listeners will hear a vendor-neutral, executive overview of in-database analytics technology from independent expert Rick Sherman. Find out how the technology works -- and how companies are leveraging it for improved operational efficiency and other business benefits.
Posted: 21 Oct 2009 | Premiered: 21 Oct 2009


Video Whitepaper: The Great Debate: Buy Versus Build
sponsored by Oracle Corporation
VIDEO: This video white paper explores the relative pros and cons of deploying pre-built analytic applications from Oracle versus building a custom data warehouse against Oracle E-Business Suite, PeopleSoft, Siebel or similar systems.
Posted: 19 Oct 2009 | Premiered: 19 Oct 2009


Competing on Innovation... Next-Generation BI Appliances
sponsored by Sybase, Inc.
WEBCAST: View this Webcast and learn to get all the speed, flexibility and processing power of a custom-built data warehouse.
Posted: 30 Sep 2009 | Premiered: 30 Sep 2009


Targeted Business Analytics - How Large Companies Leverage SaaS BI
sponsored by Oco, Inc.
WEBCAST: This webcast gives an overview of how larger enterprises are leveraging business intelligence software in the Software-as-a-Service (SaaS) model.
Posted: 21 Sep 2009 | Premiered: 21 Sep 2009


The Power of Universal Patterns and Models for Master Data Management
sponsored by Embarcadero Technologies, Inc.
WEBCAST: In this webcast featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
Posted: 11 Sep 2009 | Premiered: 11 Sep 2009


Managing Third-Party Compliance
sponsored by Embarcadero Technologies, Inc.
PODCAST: In this podcast featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to meet changing information compliance regulations. Gain insight into various modeling options to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
Posted: 11 Sep 2009 | Premiered: 11 Sep 2009


Oracle Optimized Warehouse Solutions for Sun
sponsored by Sun Microsystems, Inc.
VIDEO: Leveraging vast engineering and field experience architecting and implementing data warehouses with the Oracle Database, Sun created a set of data warehouse solutions to help IT managers quickly select a configuration, thus reducing the risk and deployment times for data warehouse solutions.
Posted: 09 Sep 2009 | Premiered: 09 Sep 2009


Sybase IQ 15: Making the Economical Choice
sponsored by Sybase, Inc.
WEBCAST: Bill Jacobs, Director of Technical Marketing, Sybase IQ, discusses the elements and attributes of Sybase IQ that make it a very economical choice for your business intelligence, analytics, and data warehousing activity. The features in the latest release are highlighted, along with the base characteristics of Sybase IQ.
Posted: 31 Aug 2009 | Premiered: 31 Aug 2009

13 Matches
 
DATA WAREHOUSES DEFINITION (continued): … 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 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 latter idea is known as the data mart.Applications of data warehouses include data mining, Web Mining, and decision support systems (DSS).
Data Warehouses definition sponsored by SearchSQLServer.com, powered by WhatIs.com an online computer dictionary
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