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Understanding Big Data
Understanding Big Data

... record presents challenges even before the issues of aggregation of results might be considered. The pre-eminent tool for Big Data Analytics has been Hadoop, based on MapReduce. This open source platform has been incorporated in a range of open source and proprietary analytic products This has a num ...
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... Usage of the aforementioned methods for clustering categorical data is inefficient, and often impossible. The main difficulties are associated with high dimensionality and huge volumes of data that often characterizes such databases, because the pairwise comparison of the characteristics of objects ...
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IT DATABASE MANAGEMENT - Housing Internal Audit Forum
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... This guide provides advice on matters designed to assist the auditor in developing an internal audit programme on IT database management. It is the responsibility of the auditor to determine which elements of the guide are incorporated into their internal audit programme. The tables setting out the ...
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TextVis: An Integrated Visual Environment for Text Mining*
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... information is also available in unstructured, textual form. The availability of document collections and especially of online information is rapidly growing. The vast amounts of information prohibit manual analysis and effective exploration. Thus, it is necessary to provide automatic tools for ana ...
Edelhauser Eduard – Client server versus distributed network
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... Abstract. The aim of this paper is to design an information system for the personal record in the small/middle firm, but firms that consists of main submits geographical scattered. The application has been made using the triad APACHE-MySQL-PhP offered by Merlin Desktop in the open source vision. The ...
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Design and implementation of Multi Dimensional Data
Design and implementation of Multi Dimensional Data

... support data model. It stores the information on which the enterprise needs to make a strategic decision. A higher studies counseling system as a data warehouse is also often constructed by integrating data from multiple heterogeneous sources or Institutions to support structured and/or ad hoc queri ...
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BE Resources expands footprint at Iron Mountain

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First Generation Fit - University of Richmond
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... the uniform acceptance for a given hadronic scattering angle qh and momentum bin and a, b, t0 , and fmid are parameters. The value of fmid is fixed at the value of the mid-point of the first good qh bin. Some results for one sector and one hadron momentum bin are shown in Figure 5. In the first iter ...
Automated Validation of Third Party Data Imports
Automated Validation of Third Party Data Imports

... provided Data Specifications Table (DST). For studies that don’t have an in-house database system set-up, the Sponsor provides the specifications that provide a blue print for database structure that will be received over FTP Server from Vendor. There may be multiple versions of DST sent depending u ...
UNIVERSITY OF NAIROBI DEPARTMENT OF REAL ESTATE
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... Integrated circuits were introduced into the computer giving rise to third generation computers in 1964. It was small in size and consumed less power. This was achieved by producing smaller transistors which were placed on silicon chips, called semiconductors. They drastically increased the speed an ...
A Survey on Data Mining and its Applications
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Information Systems And Databases - MDCC

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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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