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Data Warehousing

Webpages concerning "Data Warehousing"

Data Warehouse Appliances from DATAllegroRanking
DATAllegro offers data warehouse appliances that lead the industry in price and performance
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http://www.datallegro.com/
Keywords:
Datallegro, Data warehouse, data warehouse appliance, data warehouse appliances, Datallegro P2, Datallegro P5, Datallegro C25, Datallegro IQR, Datallegro Encryption Technology, Oracle, Data warehousing, Parallel data warehouse, Data mart, Corporate information factory, Query, Data, Server upgrade, DW, Business Intelligence, Analytics, Linux, High performance, ad hoc query, PostgreSQL, ...

http://www.datallegro.com/

FileTek, Incorporated, makers of StorHouse®Ranking
We solve your organization's problems with storing, managing, protecting, and accessing large volumes of data. Our award-winning StorHouse® technology enables you to retain years of e-mail and financial information for online access or to satisfy other large data management requirements.
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http://www.filetek.com/
Keywords:
FileTek, StorHouse, SAP Portals, SAP, SAP AG, MEDITECH, SAP Business Warehouse, PRO, Public Record Office, digital archive, business intelligence solutions, enterprise portal solutions, data management, storage, SeiScan GeoData, Bill Inmon, alternative storage, EMC Corporation, EMC, Centera, EMC Centera, StorHouse, for, EMC, Centera, fixed content data, fixed, content, data, applications, ...

http://www.filetek.com/

Netezza - business intelligence data warehouse applianceRanking
Netezza is a provider of enterprise data warehouse appliances that deliver high performance data analysis and data analytics for companies with terabytes of data running Business Intelligence applications, BI applications for CRM, supply chain analysis, CDR analysis, database marketing analysis, healthcare analytics, homeland security, revenue assurance analysis, click stream analysis and operatio...
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http://www.netezza.com/
Keywords:
data warehouse, data warehouse appliance, data warehouse appliances, data warehousing, data mining, analyze terabytes, data analysis, data analytics, large databases, datamart consolidation, data mart consolidation, EDW, enterprise data warehouse, business intelligence, BI, Neteeza, ad hoc queries

http://www.netezza.com/

Princeton Softech Optim SolutionRanking
Princeton Softech Optim provides a single solution for managing enterprise application data throughout every stage of the information lifecycle.
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http://www.princetonsoftech.com/products/activearchivesolutions/
Keywords:
Archiving, Backup and recovery, CRM, Data growth, Data growth monitoring, Data Lifecycle, Data Lifecycle Management, Data Management, Data Privacy, Data retention, Data Storage, Data Warehousing, Database archiving, Database backup, Database Partitioning, Database subsetting, Disaster recovery, Enterprise application archiving, enterprise application software, Enterprise Data Management, ...

http://www.princetonsoftech.com/products/activearchivesolutions/

Welcome to Teradata.comRanking
Teradata, a division of NCR, is a leading provider of powerful, enterprise analytic technologies and services that include Data Warehouse, CRM, ERP, Demand Chain Management and E-Business Solutions.
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http://www.teradata.com/
Keywords:
data warehouse, data warehousing, CRM, customer relationship management, ERP, performance management, enterprise resource planning, demand chain management, demand forecasting, inventory management, E-business, E-business solutions, E-business strategy

http://www.teradata.com/

Computer Corporation of America: The Home of Model 204Ranking
Supplier of Model 204, System 1032 and MarketPulse: DBMS - database marketing technology for IBM and DEC systems
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http://www.cca-int.com/
Keywords:
CCA, Computer, Corporation, of, America, Model 204, Model204, M204, MarketPulse, CCA Analytics, webgate, WebGate, System 1032, s1032, 1032, mq204, MQ204, Y2K, Database Marketing, Information Technology Systems, IMAGINE, ACCOLADE, connect*, horizon, database consulting

http://www.cca-int.com/

EMC CorporationRanking
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http://www.emc.com/

http://www.emc.com/

GreenplumRanking
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http://www.greenplum.com/

http://www.greenplum.com/

HomeRanking
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http://www.calpont.com/

http://www.calpont.com/

SAS | Data Integration & ETLRanking
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http://www.sas.com/technologies/dw/

http://www.sas.com/technologies/dw/

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Wikipedia-Article "Data Warehousing"

A data warehouse is, primarily, a record of an enterprise's past transactional and operational information, stored in a database designed to favor efficient data analysis and reporting (especially OLAP). Data warehousing is not meant for current "live" data.

Data warehouses often hold large amounts of information which are sometimes subdivided into smaller logical units called dependent data marts.

Usually, two basic ideas guide the creation of a data warehouse:

  • Integration of data from distributed and differently structured databases, which facilitates a global overview and comprehensive analysis in the data warehouse.
  • Separation of data used in daily operations from data used in the data warehouse for purposes of reporting, decision support, analysis and controlling.

Periodically, one imports data from enterprise resource planning (ERP) systems and other related business software systems into the data warehouse for further processing. It is common practice to "stage" data prior to merging it into a data warehouse. In this sense, to "stage data" means to queue it for preprocessing, usually with an ETL tool. The preprocessing program reads the staged data (often a business's primary OLTP databases), performs qualitative preprocessing or filtering (including denormalization, if deemed necessary), and writes it into the warehouse.

Business Intelligence reports (e.g., MIS reports) may then be generated from the data managed by the warehouse. In this way the data warehouse supplies the data for and supports the business intelligence tools that an organization might use.

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Dimensions and Measures

A data warehouse is created by analyzing ways to categorize data using dimension (data warehouse)s and ways to summarize data using measure (data warehouse)s. Dimensions can be used to filter data by excluding results or by displaying data in different cells of a presentation. Measures are used to create averages and totals using precomputed aggregates.

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See also

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References

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