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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  … 
Definition continues below.
Data WarehousesWhite Papers (View All Report Types)
76 - 100 of 260 Matches Previous Page  | Next Page
Choose the Right Embedded Data Store: Why WebFOCUS Hyperstage Is Better for Big Data Analytics
sponsored by Information Builders
WHITE PAPER: This white paper demonstrates how Hyperstage can respond quickly to database requests and effectively scale to support large volumes of data. It also compares Hyperstage to OLAP and in-memory analytics solutions, and explains what makes Hyperstage superior.
Posted: 30 Apr 2013 | Published: 31 Dec 2012

Information Builders

Ziff Davis: Maximizing Performance and Minimizing Cost with Interactive Business Intelligence
sponsored by IBM
WHITE PAPER: View this white paper to learn how IT decision makers can drive faster analytics over large data volumes in a data warehouse. It outlines how you can give end users the ability to have a more interactive analysis using online analytical processing (analysis.)
Posted: 10 Apr 2013 | Published: 10 Apr 2013

IBM

The Impact of Corporate Real Estate on Records Management
sponsored by Iron Mountain
WHITE PAPER: This white paper explores the hidden impact that shifting corporate real estate paradigms have on records management. Read now to ensure that the quality, accessibility and security of your organization's vital information assets remain unaffected. Read now to learn more.
Posted: 24 Aug 2012 | Published: 20 Dec 2011

Iron Mountain

Universitätsklinikum Erlangen strengthens analytics expertise and focuses on a customised healthcare analytics solution
sponsored by IBM
WHITE PAPER: View this white paper to learn how one company strengthened analytics by developing a focus on customised healthcare. It linked to relevant operational systems, how to optimise information flow and how to support the overall strategic control of the hospital at just the touch of a button.
Posted: 11 Apr 2013 | Published: 11 Apr 2013

IBM

Best Practices for Implementing a High-Performance Data Warehouse
sponsored by SAS
WHITE PAPER: There are more new forms of data today than ever before, and traditional business intelligence systems cannot always handle the amount of stress from this influx of information.  Check out this white paper to discover a system known as 'high performance data warehousing' that can help you successfully analyze and glean insights from your big data.
Posted: 11 Apr 2013 | Published: 31 Dec 2012

SAS

All Mobile, All the Time: Can Businesses Make the Leap?
sponsored by SearchBusinessAnalytics
WHITE PAPER: Consult this white paper to learn how to manage the increasing array of data sources. Find out how you can ensure that your valuable data is accurate and accessible. Explore the changes the mobile revolution is causing your enterprise and the values you need to establish to have successful BI by reading this resource now.
Posted: 26 Feb 2013 | Published: 26 Feb 2013

SearchBusinessAnalytics

Deliver Trusted Data and Deeper Insights
sponsored by SAP America, Inc.
WHITE PAPER: The health of your business depends on your data management strategy. Read this paper to learn about one platform designed to manage your increasing volumes of data and applications, as well as quickly provide critical analytics. Benefits include integration of structured and unstructured data, reduced cost, scalability and more.
Posted: 13 Sep 2012 | Published: 13 Sep 2012

SAP America, Inc.

Maximizing the Value Provided by a Big Data Platform (Branham Group)
sponsored by IBM
WHITE PAPER: This paper focuses on finding the value within big data and offers advice for delivering deeper insight to decision-makers and management. Also, discover how leading companies are benefiting from the recent emergence of MapReduce and real-time analytics.
Posted: 13 Aug 2012 | Published: 01 Jun 2012

IBM

The IBM DB2 Analytics Accelerator for z/OS, V2.1
sponsored by IBM
WHITE PAPER: The survival of a business is directly related to how quickly they can make strategic decisions. This white paper explores an analytics accelerator that expedites complex queries, allowing you to respond quickly to changing conditions.
Posted: 09 Jul 2012 | Published: 01 Oct 2011

IBM

Teradata Active Data Warehouse Private Cloud: Mitigate Risk and Meet Dynamic Business Needs
sponsored by Teradata
WHITE PAPER: Check out this article now to learn about public v. private clouds and how they stack up when it comes to mitigating risk and meeting business needs.
Posted: 02 Jul 2012 | Published: 02 Jul 2012

Teradata

Integrating Analytics into the Operational Fabric of Your Business
sponsored by IBM
WHITE PAPER: Read this paper by industry expert Dr. Barry Devlin and learn everything you need to know about operational analytics and how it can benefit your business. Discover its relationship to BI, how traditional data warehouse support it, its architectural advantages and so much more.
Posted: 29 Jun 2012 | Published: 18 Apr 2012

IBM

A New Dimension to Data Warehousing: 2011 IOUG Data Warehousing Survey
sponsored by Oracle Corporation
WHITE PAPER: A recent IOUG survey discovered that while most organizations have a well-established data warehouse, acceptance within their companies is still limited. Inside this exclusive study, learn how companies can start taking more advantage of their data warehousing systems to successfully manage the growing amounts of “big data".
Posted: 29 Jun 2012 | Published: 07 Sep 2011

Oracle Corporation

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

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

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

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

Customers Achieve Extreme Performance at Lowest Cost with Oracle Exadata Database Machine
sponsored by Oracle Corporation
WHITE PAPER: This reference contains a sampling of real business results that organizations in a variety of industries have achieved by implementing Oracle Exadata. Learn how you can use Oracle Exadata to reduce IT costs through consolidation, manage more data on multiple compression tiers, improve the performance of all applications and much more.
Posted: 06 Mar 2012 | Published: 18 May 2011

Oracle Corporation

Business Intelligence for the Business of IT
sponsored by Hewlett-Packard Company
WHITE PAPER: Read this white paper to learn more about how to improve your IT investments for better business.
Posted: 20 Feb 2012 | Published: 20 Feb 2012

Hewlett-Packard Company

A foundation for database simplification, consolidation and cost reduction
sponsored by IBM
WHITE PAPER: This white paper challenges the x86 processor trend, demonstrating that modern mainframe technology represents a scale-up option to the current racks filled with blades. It looks at the way organizations can benefit in terms of improved agility, increased reliability and cost savings by consolidating Oracle databases onto IBM’s zEnterprise.
Posted: 14 Feb 2012 | Published: 14 Feb 2012

IBM
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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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