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Data Management > Data Integration |
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Data Integration is the problem of combining data residing at different sources and providing the user with a unified view of these data. This important problem emerges in a variety of situations both commercial (when two similar companies need to merge their databases) and scientific. Data integration appears with increasing frequency as the volume and the need to share existing data increases. |
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Results 1 - 25 of 55 matches |
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| By : Bocada |
Published Date: Oct 21, 2005 |
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This strategic view is the proverbial "gold" that can be mined from your data protection systems; it is the asset that will enable IT management to prioritize activity to bring activities in line with business objectives and communicate policy compliance to corporate officers and data owners.
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Surprisingly low-cost technology MSSO/SD4E transforms Excel into an incredibly powerful and completely secure Business Intelligence tool capable of quickly and easily manipulating and analyzing live data directly from multiple, disparate data sources, generating even the most complex and sophisticated analytical reports with a simple keystroke.
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Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
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| By : CA |
Published Date: Jan 11, 2007 |
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This paper is aimed at IT staff, application development managers, security architects and technical decision makers who need to learn more about identity federation and the industry standards that formalize federated environments.
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| By : CA |
Published Date: May 17, 2007 |
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In this podcast you will learn what Identity Federation is, what the value of Federation is and how organizations and governments are using it today. This podcast will address the following questions: What is Federation? Why are organizations federating? What are Federation challenges and ways to overcome these challenges?
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Discover how to complete more application integration projects by delivering in days what used to take months of custom programming. Find out how an appliance-based approach to application integration uses “configuration, not coding” to dramatically simplify and accelerate integration projects, while cutting costs by up to 80%.
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Discover why traditional software and custom coding solutions are obsolete when solving integration problems in a SaaS environment and how they’re rapidly being replaced by Integration Appliances that use “configuration, not coding” to quickly integrate your SaaS applications with your business-critical data.
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Midsized companies face the challenge of integrating key applications while keeping risks low, costs down, and schedules short. Explore three approaches to application integration and discover a quick and cost-effective way to get your critical applications to work together without custom code or burdening specialist resources, ensuring rapid ROI for your application investment.
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Traditionally companies had just two choices for their integration needs, complex and expensive platforms like EAI or write custom code. Learn about the "hidden costs" of custom code and discover five reasons why companies are switching to Integration Appliances that use a simple “configuration, not coding” approach to integration.
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Traditionally companies had only two choices for integrating SAP solutions, complex and expensive platforms like EAI or write custom code. Integration Appliances offer companies a third option, one that dramatically simplifies and accelerates SAP integration by using a “configuration, not coding” approach to rapidly connect SAP applications with a wide variety of applications, without burdening specialist resources.
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This white paper describes how the Clarabridge Content Mining Platform avoids the pitfalls of previous approaches to unstructured analysis, and capitalizes on lessons learned from solving similar problems in the structured domain.
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Service-Oriented Architecture (SOA) is an approach to organizing IT resources and data to meet the changing needs of the business. Implementing SOA depends upon the IT organization being able to build interoperable, robust, reusable, and composable Services that abstract the underlying application functionality and data in the organization.
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This independent technology assessment by Ken North, the industry expert on databases and middleware, presents a top level view of the role of data access middleware and its importance. It discusses the defining characteristics of premium data access middleware, such as features that affect performance and scalability, and includes a checklist of critical features.
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| By : HP |
Published Date: Apr 11, 2007 |
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In an effort to stay ahead of the competition, companies have poured capital resources into information technology. In many cases, this has been done on a group-by-group basis, with each line of business creating its own infrastructure silo. Each silo had its own systems, servers, storage, licenses, and support teams—and each shouldered the total cost of owning and operating a standalone infrastructure.
Learn more by downloading this paper.
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| By : IBM |
Published Date: May 30, 2007 |
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WinterCorp analyzes IBM's DB2 Warehouse and how it addresses twin challenges facing enterprises today: improving the value derived from the torrents of information processed every day, while lowering costs at the same time. Discover why WinterCorp believes the advances in data clustering strategies and intelligent software compression algorithms in IBM's Data Warehouse improves performance of business intelligence queries by radically reducing the I/O's needed to resolve them.
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| By : IBM |
Published Date: Feb 07, 2008 |
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This white paper, authored by industry analyst IDC, explores the problems confronting IT organizations today as they seek to bring data together from disparate sources in order to achieve better information coherence, operational efficiency, and more effective overall governance. Specifically, the paper considers the problems posed by the complexity of "data integration" technology in terms of its configuration and maintenance. It looks at the utility of a grid computing approach in providing scalability and manageability for "data integration" and considers how an appliance approach can further reduce cost and risk for customers.
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| By : IBM |
Published Date: Jun 01, 2006 |
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The purpose of this paper is to highlight the issues, requirements, and technologies available for automated advanced name recognition.
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| By : IBM |
Published Date: Feb 01, 2006 |
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This case study outlines their success in achieving global simultaneous product launches, correct information for catalogs and advertising, faster price change notifications and better Point of Sale (POS) integration.
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| By : IBM |
Published Date: Jul 09, 2007 |
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IBM Multiform Master Data Management manages master data domains - customers, accounts, products - that have significant impact on the most important business processes and realize the promise of Service Oriented Architecture (SOA). IBM is the only vendor that delivers an integrated MDM product with significant out-of-the-box functionality for each MDM usage style - collaborative, operational and analytical - across multiple data domains, thereby managing the complete data lifecycle.
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| By : IBM |
Published Date: Dec 12, 2007 |
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Organizations with data-sharing environments, complex information and systems hinder business responsiveness and decision makers’ ability to make informed decisions. This white paper will describe how engaging in a master data management (MDM) project enables effective governance of data - specifically master data - and achieves maturity in key categories of the IBM Data Governance Maturity Model.
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| By : IBM |
Published Date: Apr 23, 2007 |
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Think differently about information. Information is not just stored in your customer databases, file systems, content management systems or applications (e.g., ERP, CRM, and SCM). Information resides in many different repositories including custom applications, e-mails, digital images and reports. You need to make sure you are leveraging all your relevant information no matter where it originated, no matter what its format, and no matter where it resides to help your organization innovate, compete, provide service and grow.
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