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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 313 matches |
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| By : Mimecast |
Published Date: Feb 02, 2009 |
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Litigants in the United States are required by law to give discovery of ‘electronically stored information’ (ESI). The obligations are found in the 2006 modification to the Federal Rules of Civil Procedure (FRCP). The Rules impose rigid timeframes with sanctions for defaulting parties. The law takes discovery seriously because it is one of the cornerstones of civil justice systems. Learn more today.
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Sign up for the webcast and you will learn: The strategic benefits of a robust information infrastructure for performance management, How to take immediate action if your operating reporting has data latency challenges, How to drive broader adoption in the business by addressing critical data challenges, Why the combination of IBM and Cognos, an IBM company, accelerates the delivery and quality of the information needed to drive business performance.
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This whitepaper is directed to technology executives and team members who are looking to increase the efficiency and operational maturity of their IT operations. It will discuss in detail the following five steps, each required to fully realize the potential of your technology investments.
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With everything from national security to regulatory compliance to the confidence of the citizenry at stake, the need for ironclad data security is greater than ever. Read what you can do to secure your organization’s file transfer from internal and external threats.
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The potential benefits of enterprise data warehouse technology are clear: organizations can store and access huge volumes of historical and current information that provide end-users with unprecedented business insight and help them make more informed and timely decisions.
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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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Getting your applications to work properly over a Wide Area Network (WAN) is a complex task, and it is not likely to get easier any time soon. Trends such as data center consolidation, the advent of Web 2.0 applications, and the move to web-based application delivery have only served to increase complexity and slow user response times. Often, the result is sluggish application response and at worst, abandoned applications and shopping carts due to slow or failed web page loads. The good news is that you can do something to improve application performance over slow or congested WAN networks. An Application Delivery Network can accelerate your applications and help make sure they’re secure, fast, and available.
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| By : InMage |
Published Date: Feb 24, 2009 |
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This paper describes a series of tests run to determine the viability of continuous data protection (CDP) using InMage DR Scout along with Agami Systems AIS 3000 series of unified storage systems.
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| By : SAP 2 |
Published Date: Aug 21, 2009 |
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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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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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As business and technology needs evolve, businesses must adapt with new ways to organize their data centers and store structured and unstructured information. One result of these changes is the emergence of modular storage systems as the "primary" storage platform in terms of capacity deployed and IT staff resources required. Read this IDC report to learn more about the evolving modular storage landscape and Hitachi storage solutions. Normal 0 false false false EN-US X-NONE X-NONE
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Learn about strategies for enterprise data protection from the data center to remote office environments.
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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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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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This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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The basic principles for managing an archiving project presented in this paper can help you initiate and plan an archiving strategy that meets your organization’s requirements.
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This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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| By : Quocirca |
Published Date: Mar 06, 2007 |
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Quocirca conducted two surveys separated by 12 months that looked at the data management infrastructure of UK and Irish businesses and how this was linked to their ability to respond to the whims of the regulators. In the year between the two surveys a lot had changed.
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SAP®, the world’s largest business software company, provides a comprehensive range of enterprise software applications and business solutions to empower every aspect of business. Organizations deploying SAP have invested a significant amount of time and money in these powerful applications. By taking advantage of F5’s Application Ready infrastructure for SAP, tested and validated at SAP, organizations can achieve a secure, fast and available network infrastructure that reduces the total cost of operation and increases ROI. And F5’s FirePass SSL VPN, BIG-IP Local Traffi c Manager and WANJet appliance have been certified by SAP for integration with SAP ERP 6.0 based on NetWeaver 7.0.
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This white paper introduces the requirements for an XML infrastructure that is designed to ensure the opportunities and benefits of SOAs and Web Services can be realized.
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| By : Xiotech |
Published Date: Apr 13, 2007 |
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Organizations face a double whammy when it comes to data archive management. On one hand, the volume of digital and paper archives is growing exponentially. Industry analysts report that digital hard disk storage has grown 85 percent a year over the last eight years and 2.7 billion new sheets of paper are filed into folders every day.
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Kahn Consulting, Inc. (KCI) has assessed Data Domain deduplication storage systems using criteria derived from broad compliance requirements and best practices related to information management. In this paper, KCI evaluates the Data Domain deduplication architecture and specifically how its Data Invulnerability Architecture is designed to protect system data using a number of techniques. Learn more today!
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Data centers are large, important investments that, when properly designed, built, and operated, are an integral part of the business strategy driving the success of any enterprise. Yet the central focus of organizations is often the acquisition and deployment of the IT architecture equipment and systems with little thought given to the structure and space in which it is to be housed, serviced, and maintained. This invariably leads to facility infrastructure problems such as thermal “hot spots”, lack of UPS (uninterruptible power supply) rack power, lack of redundancy, system overloading and other issues that threaten or prevent the realization of the return on the investment in the IT systems.
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IST uses Fourth Shift software by SoftBrands to manage its operations in Big Flats, New York (headquarters) and Buffalo, New York, as well as the United Kingdom, Canada and France. For Fourth Shift to function correctly for IST, a series of process must be run each night on several servers. These processes include batch runs, data extracts, and system backup.
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