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Data Management |
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Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise. |
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Results 1 - 25 of 113 matches |
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The shift from physical servers to consolidated, virtualized server infrastructures has had undeniable IT benefits. However, the rapid move to VMware has caused traditional approaches to disaster recovery (DR) to become outmoded and added a layer of complexity to DR implementation.
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As a Services Executive are you struggling with questions regarding what to measure, how to effectively engage with your customers, and what information should be leveraged and shared with service-chain partners and customers? Leading edge organizations are making tools and data available to their suppliers and customers with aggregated information from multiple data systems. Service-chain partners and customer personnel can now see the same views of service performance and activity. This is the next frontier to creating customer "stickiness" and business growth.
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Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
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| By : SAP |
Published Date: Jun 01, 2008 |
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Read this article to identify the 5 phrases of an EDM implementation you need to achieve efficiency and effectiveness with your master data.
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Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling tools and techniques arrives in the nick of time, because new technical and regulatory realities demand that enterprises maintain scrupulous awareness of their data and how it is used. Data modeling is no longer for databases only, no longer for technologists only, and no longer optional.
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| By : IBM |
Published Date: May 16, 2008 |
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Maintaining data security, performance, availability and recoverability is a growing challenge. The IBM Power platform offers many advantages in performance, scalability and key functional capabilities to support key database serving. In addition, it simplifies virtualization, making it easier to reduce the number of physical servers required. This ITG report shows the advantages of the IBM Power platform as an alternative to commodity Windows servers in mid-sized companies.
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| By : IBM |
Published Date: May 16, 2008 |
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Maintaining data security, performance, availability and recoverability is a growing challenge. The IBM Power platform offers cost-effective performance, scalability and key functional capabilities to support Linux-based database serving. It also simplifies virtualization, making it easier to reduce the number of physical servers required. This ITG report shows the advantages of the IBM Power platform for Linux database serving in mid-sized companies.
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In this white paper Clearswift address the question "Is it possible to build a leak free enterprise?" In addition to a Gartner research note on "Understand Data Leakage" we answer the question by describing 15 of the most common mistakes of web and email security and the associated risks and solutions.
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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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In the Life Sciences industry, information is the source of innovation. Vast varieties of content and information sources feed the development pipeline. The ability to create, share, navigate, find and protect essential information is critical to research and development groups, clinicians, regulatory agencies, marketing teams, and those who benefit the most - customers.
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Oil & Gas companies operate in an increasingly complex environment. SchemaLogic's enterprise solution for managing content and document metadata enables Oil & Gas companies to model, update and synchronize content across project document repositories or collections for greater reliability and reduced total installed cost.
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SchemaLogic Enterprise Suite for Microsoft SharePoint 2007 (SES) resolves SharePoint issues by providing a framework that enables companies to model and connect the structures and relationships of the metadata across the entire SharePoint environment. SES continuously updates and synchronizes metadata across SharePoint site collections, Web applications and farms by leveraging and extending SharePoint’s native capabilities.
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DSS, GLBA, HIPAA, OMB, PCI, PIIG... just a few of the standards and regulations that place additional constraints on how data is stored, processed, and transmitted. Adopting best practices for protecting the sensitive or private information valued by your company, customers, employees and partners adds a new complexity to email security.
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Planning for recovery is a requirement in businesses of all sizes. In implementing an operational plan that ensures that both data and applications can be recovered, IT personnel are generally confronted with several challenges. Do you have a plan that meets your recovery requirements to your satisfaction? Read this paper to learn more about the ideal plan for IBM AIX Environments, and whether your plan is complete.
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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 : SAP |
Published Date: Feb 01, 2008 |
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While historically consumer packaged goods (CPG) organizations have made significant investments in data collection and integration, much of the data stored in their IT infrastructures has not been analyzed or deployed to further the firms' business performance. Those enterprises that learn to effectively harness the vast quantities of information generated by their IT systems - both within and outside the corporation - will enjoy a substantial competitive advantage.
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| By : SAP |
Published Date: Feb 01, 2008 |
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Although many organizations have made significant investments in data collection and integration (through data warehouses and the like), it is a rare enterprise that can analyze and redeploy its accumulated data to actually drive business performance. In the years to come, as globalization and increased reliance on the Internet further complicate, accelerate and intensify marketplace conditions, actionable business intelligence promises to deliver a formidable competitive advantage to firms that leverage its power.
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| By : IBM |
Published Date: Jan 30, 2008 |
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The lack of trusted information - information that is accurate, timely and relevant - is on the minds of CEOs and senior executives around the world. The cost and complexity of managing increasing volumes of data and content, combined with the need to provide trusted information to every user for every transaction, is driving CIOs to rethink their approach to information delivery.
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If you’ve virtualized your servers but not your storage, you’ve done only half the job. Learn how FAS deduplication and other NetApp technologies can help you cut storage costs in half, reduce your VMware RTO to minutes, and increase your overall operating efficiency.
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This white paper walks you through how Data Domain integrates with NBU, including planning and sizing considerations, operational considerations, offsite replication, and other integration basics so you can get the most out of this powerful solution.
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| By : Quocirca |
Published Date: Jan 03, 2008 |
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Small and medium-sized businesses (SMBs) can benefit from the expansive use of information technology (IT) just as much as their larger counterparts. Indeed, in many cases they have to, because to trade they need to interact with business partners of all sizes and IT failure affects not just internal users but those of third parties.
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| By : Riverbed |
Published Date: Jan 03, 2008 |
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This white paper discusses the CAP theorem (consistency, availability, partition-tolerance), the incongruities of the claims that competitors make against this theorem, and the pareto-optimal approach Riverbed takes to reconciling the CAP theorem. Download this white paper now.
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In 2005, O’Hare International Airport began a project to relocate and modernize a 2.1 million ft.2 runway. Five independent firms worked on the project design with the IT/data management led by Milhouse Engineering and Construction, Inc. Milhouse implemented GlobalSCAPE WAFS which mirrors critical files to all sites. This provided fast local access to all project files automatically without any administrative burden and with no delays.
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Although SQL Server offers options for database protection and recovery, none of them is intended to provide a complete disaster recovery solution. Make sure you’ve take the time to develop a high availability and disaster recovery plan to cover unforeseen catastrophes that might threaten your database in the future. When recoverability matters, depend on Double-Take Software to protect and recover business critical data and applications.
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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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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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