| Title | Date Added | Company | |
|---|---|---|---|
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IT and the environment; a new item on the CIO's agenda? | 2008-04-23 | IBM |
It's difficult to open a newspaper, turn on the TV or browse the internet right now without stumbling across commentary, opinion and argument about all kinds of 'green issues'. The Economist Intelligence Unit conducted a major online survey in June and July 2007, supplemented by in-depth interviews with senior IT executives, to investigate what's really happening in IT departments. Are efforts being made by organisations to measure and reduce the environmental impact of the IT function? Will the issue go away, or become even more pressing? How do these changes affect the purchasing, operation and disposal of technology assets within businesses today? |
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IT optimization as a source of sustainable competitive advantage | 2008-04-23 | IBM |
Over the last ten years enterprises worldwide have transformed the way they do business by investing trillions of dollars in IT. They've expanded their marketplace reach while working more closely with customers and suppliers. The most innovative of these companies have created a substantial competitive advantage in the marketplace. Read this white paper to read how this relates to the CIO |
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Linguistic Collation: Everyone Can Get What They Expect - Sensible Sorting for Global Business Success | 2008-04-23 | SAS Institute |
| In "Creating Order out of Character Chaos: Collation Capabilities of the SAS System" the authors describe the collation capabilities offered by PROC SORT in SAS and explain their respective applicability, advantages, and the processing implications of each approach. This paper concentrates on the true linguistic collation capabilities that SAS offers, and shows how everyone gets their expected results when searching for data in "Sorted" order. Global enterprises have information in many languages and from many different regions. Gathering the right information is crucial to their success. Sorting is ubiquitous in data processing, be it when searching for authors, titles, topics in on-line documentation, or when ordering a customer database by name or address, and so on. | |||
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The Information Perspective of SOA Design, Part 6: The Value of Applying the Data Quality Analysis Pattern in SOA | 2008-04-17 | IBM |
| For SOA services to be successful and reusable, it is important that the data they expose is of acceptable quality for all the consumers. Exposing quality data is necessary in any SOA initiative. Whether it is application services being exposed or a simple generated data query service, the resulting data must be accurate and appropriate to the business context to be of any value. Data profiling and, in particular, quality analysis are traditional components of enterprise data architecture.
Tags: Web Services, Service-Oriented Architecture |
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Information Architecture Essentials, Part 6: Distributed Data Mining | 2008-04-08 | IBM |
| The explosive growth in data-storage capabilities and rapid network communication protocols has allowed organizations to collect and store a staggering amount of information on specific topics. These databases may be upwards of petrabyte size (1 x 10 15 bytes, or a billion megabytes) - a truly awe-inspiring amount of data! Such massive information stores are often found in research applications (such as biology, medicine, physics, and astronomy) and government agencies (such as the IRS, Department of Defense, and Department of Labor). They may also occur in business: for example, in insurance calculations for underwriting risk. Government agencies often need to share data, but different data schemas, interfaces, and communication techniques complicate these transfers.
Tags: Data Mining - Analysis |
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An Improved Architecture for High-Efficiency, High-Density Data Centers | 2008-04-03 | American Power Conversion (APC) |
| Data center power and cooling infrastructure worldwide wastes more than 60,000,000 megawatt-hours per year of electricity that does no useful work powering IT equipment. This represents an enormous financial burden on industry, and is a significant public policy environmental issue. This paper describes the principles of a new, commercially available data center architecture that can be implemented today to dramatically improve the electrical efficiency of data sources.
Tags: Infrastructure Management, Resources Mgmt., High Performance Computing |
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Enhancements to SAS/GRAPH Software in SAS 9.2 | 2008-04-02 | SAS Institute |
| This paper covers the key functionalities that have been added to SAS/GRAPH 9.2. Highlights include integration of styles with current SAS/GRAPH procedures; new SAS/GRAPH statistical graphics procedures such as SGPlot, SGScatter, and SGPanel; Graph Template Language (GTL) that can be rendered using the SGRender procedure; GKPI and GTILE procedures; Network Visualization Workshop; new device drivers such as Scalable Vector Graphics (SVG); a new set of TrueType fonts that are shipped as part of SAS; support for more than 256 colors for the devices that support them; several new map data sets; and much more. In addition, integration of Output Delivery System (ODS) with graph procedures has been improved to automatically pick the best device and size based on the output destination.
Tags: Data Visualization |
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Information Architecture Essentials, Part 5: Business Intelligence in Your Information Architecture | 2008-04-01 | IBM |
| This series explores a variety of elements that create a successful information architecture design. As one manages and organizes data and content, work with distributed data mining, and analyze and present information to users, there is a key element that one can't let go untapped: business intelligence. How is one using all that data to build a better business from within? Is one getting the right information to the right people and in a format they can understand? If the first response is, "Um, uh&," then it's a good bet that the design is suffering from what some experts call an information paradox - an excess of information that has little usefulness.
Tags: Data Mining - Analysis, Business Intelligence - Data Warehousing |
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Extreme Business Warehousing: 60 Terabytes and Beyond | 2008-04-01 | IBM |
| This paper covers the design criteria and implementation of an SAP NetWeaver Business Intelligence (SAP BI) system of extreme size, under massive online load, and with very demanding availability requirements. The proof of concept documented here is based on real customer data, business processes and business needs. It shows the how the application, infrastructure and middleware can scale-out to meet the most extreme business requirements, therefore the name "Extreme Business Warehousing". | |||
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BEA AquaLogic Pathways 1.5: Extend Knowledge Discovery Everywhere | 2008-04-01 | BEA Systems |
| BEA AquaLogic Pathways is a knowledge and expertise discovery system that provides personal and collaborative management of enterprise content. It is used to discover and classify information stored in any corporate repository-from Documentum to Microsoft Exchange and SharePoint to Lotus Notes or Windows file systems. AquaLogic Pathways helps users discover information and expertise based on how information is actually used. Put simply, the system combines search, content tagging, bookmarking, and activity analytics, delivering a better way to discover information and experts.
Tags: Collaboration Tools |