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Get optimized data protection: HPE StoreOnce Systems and Veritas
Get optimized data protection: HPE StoreOnce Systems and Veritas

... must be retained for longer and accessed instantaneously. Traditional backup and recovery methodologies are too slow and often fail to meet the required business SLAs for today’s data center. Adding more data protection devices to manage increasing volumes of data leads to system sprawl and increase ...
BCS HIGHER EDUCATION QUALIFICATIONS  Level 4 Certificate in IT March 2015
BCS HIGHER EDUCATION QUALIFICATIONS Level 4 Certificate in IT March 2015

... increase this by using multiple layers). Conventional Blu-ray disk can store 25 GB and multiple layer disks can store up to 128 GB. Optical storage is used largely only to archive data and make programs transportable. Optical drives may be read only or they may be read/write (which is more expensive ...
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... over the sources. In this paper, such a reformulation problem will be analyzed for both the case of localas-view, and the case of global-as-view mappings. In the ideal case, users would want to pose queries on a single data integration system and have the system automatically configure itself to int ...
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MEASURES OF SPREAD IN DATA

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UDMIS.info - University of Dayton
UDMIS.info - University of Dayton

... access this table to look up the code value  Consider using when a field has a limited number of possible values, each of which occupies a relatively large amount of space, and the number of records is large and/or the number of record accesses is small ...
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PROC SQL: A Powerful Tool to Improve Your Data Quality
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PROC SQL: A Powerful Tool to Improve Your Data Quality
PROC SQL: A Powerful Tool to Improve Your Data Quality

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The interface development for machine shop simulation
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... confidentiality concerns, leading ultimately to the establishment of a solid data basis for any MRV system. Voluntary agreements allow to start simple avoiding heavy bureaucratic structures and they offer the opportunity to evolve into more formal structures as experience is gained. Disadvantages of ...
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Designing And Implementing An Online WebGIS
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A SAS Solution: Building a Flexible/Standard System to Report the Analysis of Efficacy Data for Clinical Trials

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Business intelligence

Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. BI technologies are capable of handling large amounts of unstructured data to help identify, develop and otherwise create new strategic business opportunities. The goal of BI is to allow for the easy interpretation of these large volumes of data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.BI can be used to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions include priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a more complete picture which, in effect, creates an ""intelligence"" that cannot be derived by any singular set of data.
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