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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 WarehousesReports
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Building the business case for data warehousing appliances
sponsored by SearchDataManagement
EGUIDE: This expert e-guide outlines the specs and details of data warehousing appliance technology that can make hardware and software bundles a perfect fit for your organization. Also learn how to decide if investing in an appliance is the right move for your organization by demonstrating if it is a more suitable choice than traditional DW software.
Posted: 19 Jun 2012 | Published: 19 Jun 2012

SearchDataManagement

Measuring the half life of data
sponsored by ComputerWeekly.com
ANALYST REPORT: How long should you keep your corporate data ? This report from Nucleus Research offers some scientific answers.
Posted: 01 Jun 2012 | Published: 01 Jun 2012

ComputerWeekly.com

A Forrester Study: The Total Economic Impact Of IBM’s Netezza Data Warehouse Appliance With Advanced Analytics
sponsored by IBM
WHITE PAPER: Read this paper featuring Forrester research now and learn about the total economic impact and potential ROI that enterprises are realizing by deploying IBM Netezza DW appliance with data analytics. By taking some time to digest this resource, you will know whether a similar installation within your company will have a similar financial effect.
Posted: 05 Apr 2012 | Published: 05 Apr 2012

IBM

Transforming IT at HM Revenue & Customs
sponsored by ComputerWeekly.com
PRESENTATION: HMRC CIO, Phil Pavitt, gives the key facts around HM Revenue and Customs’ IT change programme in this PowerPoint presentation for Computer Weekly's 500 Club.
Posted: 02 Apr 2012 | Published: 28 Mar 2012

ComputerWeekly.com

E-Guide: Building an Effective BI Strategy
sponsored by Dell and Microsoft
EGUIDE: This e-guide discusses how to effectively take advantage of business intelligence (BI) technologies in your organization by utilizing essential tactics. Discover the benefits of data warehousing appliance technologies and how to select the best one for your needs.
Posted: 28 Jun 2012 | Published: 28 Jun 2012

Dell and Microsoft

E-Guide: Data Warehousing for Growing Data Volumes
sponsored by Dell and Microsoft
EGUIDE: With an influx of big data flooding businesses everywhere, the data warehousing landscape is changing rapidly. To learn more about the latest trends and advances in the big data management and data warehousing market, as well as steps you should take before investing in new technologies, review this expert e-guide now.
Posted: 27 Jun 2012 | Published: 27 Jun 2012

Dell and Microsoft

SQL Server 2012 Fast Track Data Warehouse on PowerEdge R720xd
sponsored by Dell and Microsoft SQL
WHITE PAPER: Read this white paper to learn how to configure your SQL Server data warehousing system to support growing online analytical processing (OLAP) loads while lowering costs, easing management, and improving performance.
Posted: 21 Jun 2012 | Published: 31 May 2012

Dell and Microsoft SQL

Top 10 Reasons to Store More Data in Memory
sponsored by Software AG
WHITE PAPER: As data pools continue multiplying, more and more organizations are moving their growing volumes of data out of disk-based storage systems and remote relational databases and into machine memory. But there’s more to be said about in-memory data storage. Check out this resource to discover the top ten reasons to store more data in memory.
Posted: 21 Jun 2012 | Published: 13 Jun 2012

Software AG

Comparison: IBM Netezza Data Warehouse Appliance vs. Oracle Exadata
sponsored by IBM
WHITE PAPER: This white paper offers up a comprehensive comparison of the Oracle Exadata and IBM Netezza data warehouse appliance, helping you decide which is the better fit for your business. Read this now and learn how they stack up in terms of online transaction processing (OLTP), query performance, simplicity of operation, value and more.
Posted: 30 May 2012 | Published: 18 Jan 2012

IBM

IBM Business Analytics for Linux on System z
sponsored by IBM
WHITE PAPER: This paper presents the case for business analytics, outlining the trends that are redefining analytics and the weaknesses of decentralized analytics solutions. Gain additional insight into IBM Business Analytics solutions on System z, an end-to-end solution that includes BI, predictive analytics and data warehousing on a single platform.
Posted: 22 May 2012 | Published: 18 Aug 2010

IBM

ParAccel Analytic Platform: Analytic Offload
sponsored by ParAccel
WHITE PAPER: This informative white paper discusses a platform that offloads your analytics workloads to keep your BI performance at its highest potential, analytic reports produced when you need them as well as enhanced analysis and modeling.
Posted: 09 May 2012 | Published: 09 May 2012

ParAccel

Offloading Analytic Workloads for Improved Performance
sponsored by ParAccel
WHITE PAPER: This informative paper describes a way to offload your complex workloads to a platform designed for delivering unconstrained analytics in order to improve data processing and stay on top of your business operations.
Posted: 09 May 2012 | Published: 09 May 2012

ParAccel

Big Data and its Impact on Data Warehousing
sponsored by Talend
EBOOK: Read this expert e-book by BI visionary Wayne Eckerson and gain insight into the growing adoption rates of big data technology and learn why companies are finally recognizing its many benefits. Eckerson offers a comparison of open-source options and analytical platforms, and also dives into an analysis on the varying types of processing systems.
Posted: 09 May 2012 | Published: 08 May 2012

Talend

Cloud Computing Models for Data Warehousing
sponsored by Teradata
WHITE PAPER: This paper examines cloud computing models for data warehousing and the differences between public versus private clouds.
Posted: 07 May 2012 | Published: 07 May 2012

Teradata

Pentaho Data Integration
sponsored by Pentaho Corporation
DATA SHEET: This data sheet covers core capabilities and use cases of Pentaho Data Integration software.
Posted: 17 Apr 2012 | Published: 17 Apr 2012

Pentaho Corporation

BI Trends and Strategies E-Zine Issue 4
sponsored by SearchBusinessAnalytics
EZINE: This edition of BI Trends & Strategies features a lead article by SearchCIO.com's Linda Tucci, who offers a helping hand in the quest to dismantle the dreaded data silo. The second piece outlines mobile BI, including a reference to Apple's iPad, and the final article delves into the world of performance management.
Posted: 12 Apr 2012 | Published: 11 Apr 2012

SearchBusinessAnalytics

Break the “Add More Nodes” Cycle: IBM Netezza data warehouse appliances allow your data infrastructure to scale
sponsored by IBM
WHITE PAPER: Data warehouse appliances have transformed the DW with a platform designed to deliver optimal price and performance with extreme simplicity. This paper outlines the IBM Netezza data warehouse appliance and how it offers extreme time to value, agility and ability to grow with new workloads, cost reduction of ongoing maintenance and more.
Posted: 05 Apr 2012 | Published: 14 Dec 2011

IBM

Succeeding with Data Virtualization - High Value Use Cases for Operational and Data Management Data Services
sponsored by Denodo Technologies
WHITE PAPER: This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.
Posted: 30 Mar 2012 | Published: 30 Mar 2012

Denodo Technologies

TravelTainment Case Study
sponsored by Pentaho Corporation
CASE STUDY: This case study outlines how travel industry software company TravelTainment streamlined and simplified its data warehouse and reporting system to better serve the needs of its customers.
Posted: 28 Mar 2012 | Published: 28 Mar 2012

Pentaho Corporation

SearchBusinessAnalytics.com Tip Guide: The Wrong way: Worst practices in ‘big data’ analytics programs
sponsored by Sybase, an SAP company
EGUIDE: This expert tip guide takes the less-traveled approach of letting you inside some of the worst practices associated with big data analytics today. Read this resource now and learn what not to do when it comes to analyzing big data, including assuming the software offers all the answers, forgetting lessons of the past and so much more.
Posted: 27 Mar 2012 | Published: 27 Mar 2012

Sybase, an SAP company

SearchBusinessAnalytics.com Tip Guide: Data warehousing best practices to support ‘big data’: No small task
sponsored by Sybase, an SAP company
EGUIDE: Read this expert tip guide from SearchBusinessAnalytics.com as BI luminary Wayne Eckerson and other experts, including Lyndsay Wise, delve into detail on the necessary facets involved in properly handling big data, such as preparing a data warehouse to effectively manage it by scaling up or scaling out.
Posted: 23 Mar 2012 | Published: 23 Mar 2012

Sybase, an SAP company

SearchBusinessAnalytics.com Tip Guide: IT, BI pros share their secrets to ‘big data’ analytics success
sponsored by Sybase, an SAP company
EGUIDE: Think big. That's just one secretive tidbit on effectively handling big data analytics offered up by IT professionals in this expert e-guide. Read this resource now and learn why solid system planning, business-user involvement and a clearly thought-out deployment strategy are all necessary components to a sound big data analytics initiative.
Posted: 23 Mar 2012 | Published: 23 Mar 2012

Sybase, an SAP company

SearchBusinessAnalytics Tip Guide: Trouble spots: 'Big data' pitfalls in the data warehousing process
sponsored by Sybase, an SAP company
EGUIDE: This expert tip guide from SearchBusinessAnalytics.com is an excellent starting point on your quest to discover if you're equipped to handle the onslaught of big data. Take a few minutes to read this resource now and learn best practices to help you navigate the challenges associated with big data.
Posted: 21 Mar 2012 | Published: 20 Mar 2012

Sybase, an SAP company

BI Trends and Strategies E-Zine Issue 3
sponsored by SearchBusinessAnalytics
EZINE: In the third issue of BI Trends and Strategies, learn from BeyeNETWORK experts William McKnight and David Loshin how to create a time-proof information management infrastructure, as well as five steps you can take to improve the quality of analytical data. Also learn about connectors for moving data between relational databases and Hadoop clusters.
Posted: 14 Mar 2012 | Published: 12 Mar 2012

SearchBusinessAnalytics

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine
sponsored by Oracle Corporation
WHITE PAPER: By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine.
Posted: 12 Mar 2012 | Published: 30 Sep 2010

Oracle Corporation
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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).

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