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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 65 matches |
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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: Nov 14, 2008 |
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Corporate master data is a critical asset that must be increasingly managed within and beyond the enterprise, primarily to solve business problems in compliance, customer service, sales, and marketing. Such master data may be indentified, harmonized and integrated at multiple levels of the software stack to materialize a single customer view (or supplier, product, view etc.).
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| By : IBM |
Published Date: Dec 16, 2008 |
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Research giant Forrester estimates that on average, data repositories for large applications grow by fifty percent annually. However, up to half of all that data can be duplicate or otherwise unnecessary. With no end in sight for the increase of raw data (both structured and unstructured), organizations must be ever more strategic about where and how to store enterprise information. Meanwhile, a tightening economy is putting pressure on costs, just as compliance mandates call for greater visibility into processes and data. What to do? Register for this Web Seminar to learn the four pillars of strategic storage, and how they can be used to simultaneously reduce costs, while improving speed, accuracy and accountability. The four pillars will be discussed in detail, with real-world examples of each: deep compression, database archiving,de-duplication
thin provisioning.
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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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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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| By : Siperian |
Published Date: Jan 01, 2007 |
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This comprehensive report addresses industry-specific issues for the Financial Services sector, Insurance, Pharmaceutical companies, Retailers, Manufacturing, and High-Tech.
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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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| By : SAP |
Published Date: Apr 20, 2008 |
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Examine how GPI built a solid infrastructure based on the SAP ERP application, positioning the company for significant growth. GPI can now reach strategic corporate objectives – including improved visibility into business processes and decreased production costs through better order scheduling and reduced inventory.
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| By : SAP |
Published Date: Apr 20, 2008 |
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Learn how this furniture manufacturer used the SAP xApp Manufacturing Integration and Intelligence composite application to integrate data from multiple sources, build team-leader and operator dashboards, and streamline production flow and efficiency on the shop floor.
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| By : XOsoft |
Published Date: Dec 20, 2005 |
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This white paper address the challenges that IT professionals face when implementing a geographically distributed data configuration and the features that a comprehensive replication solution must provide to answer these challenges.
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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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On-demand computing is apparently in demand, at least in the eyes of data integration specialist Informatica Corp. The Switzerland of data integration, as some have called it, just announced availability of its first on-demand offering, which is specifically designed to handle data from Software-as-a-Service (SaaS) stalwart, Salesforce.com.
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Don Tirsell, Senior Director of Product Marketing at Informatica, discusses "complex data," their recent acquisition of Itemfield, and how Itemfield's technology fits into Informatica's overall data integration platform.
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David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
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There are many ways to access data for analysis and reporting. You should analyze each business challenge to understand whether a data warehouse or another type of information-access method presents the best solution. This white paper identifies seven basic ways to integrate and access data to solve various business problems.
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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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| 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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Learn what a Web Service is and how it works, the advantages of using a Data Quality Web Service, the technology assessment for implementation, and several case studies (Saab and other real world case studies) to demonstrate real life successes.
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The challenge of creating a robust errors database, the core of iCheck, is that information must be pulled from a multitude of disparate sources. Sometimes, the data source is a database with its unique schema and field names that must be mapped to the iCheck database. Other times, the data source is a text file which must be accessed via FTP, parsed, and loaded into iCheck. And other times, the data is in RETS (Real Estate Transaction Standard) format, a real estate data format similar to XML, which is accessed via HTTP.
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The Auxiliary IT Operation center at the Indiana University has a lot of responsibility on its plate. It is in charge of the majority of for-profit activities the university is engaged in, namely the halls of residence, parking, dining facilities, campus transportation and much more. Additionally, this unit supports many critical IT processes including the secure distribution of student photos for identification cards.
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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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This paper explores trends past, current, and future in the mashup space and surveys the types of tools used to build and distribute mashups. The goal is to develop a set of criteria for the reader to use when evaluating mashup platforms for the development of business applications. Where appropriate, analogies to existing technologies and methodologies are employed.
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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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More Data Management Topics |
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Application Integration, Analytical Applications, Business Intelligence, Configuration Management, Database Development, Data Integration, Data Mining, Data Protection, Data Quality, Data Replication, Database Security, EDI, SOAP, Service Oriented Architecture, Web Service Management, Data Warehousing |
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