locker in the bank is taken to keep the documents. They are accessed only by the researcher. Documents will be destroyed after 3 years. Data Collection The data was collected from 20 Database Administrators from 20 different data warehousing organizations whose age would be 28-36 years. This group was selected because the data warehouse details and the data which is present in it of all the clients across the globe is very confidential and it has to be handled with utmost care. Hence effective
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Text mining is the process of extracting interesting and non-trivial knowledge or information from unstructured text data. Text mining is the multidisciplinary field which draws on data mining, machine learning, information retrieval, computational linguistics and statistics. This research paper discussed about one of the text mining preprocessing techniques. The initial process of text mining systems is preprocessing steps. Pre-processing reduces the size of the input text documents significantly
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THEORETICAL BACKGROUND OF THE GEOPHYSICAL METHODS OF INVESTIGATION 3.1 Preamble Geophysical survey methods have wide scope of utilizations, there is always one physical property for which a particular method is exceptionally sensitive. And few, if any, geophysical methods provide a unique solution to a particular geophysical situation. It is possible to obtain a very large number of geophysical solutions to some problems. However, a number of geophysical methods may be applied simultaneously (integrated
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Cassandra 2.0: Tutorial Abstract Cassandra is a generic VTK data viewer written in Java which provides native multiplatform support. Cassandra is the result of internal R&D of Artenum company around scientific data visualisation and its know-how in VTK [1][2]. The use of Cassandra is dedicated to 3D visualisation in pre/post processing. Cassandra has already been used for many application in scientific computing and space environment analysis. Products and services More products and services are
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report on current trends by TechTrends in September 3rd, having a private cloud is one of the major recent technologies. Companies are investing in other recent technologies such as virtual meeting and collaboration technologies, analytics and data mining, data visualization coupled with digital products and service delivery, and mobile application technologies for their customers. The aims of understanding and implementing these current trends is to obtain feedback on current and future priorities
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between data, information and intelligence? Ans. Data are simply facts or recorded measures of certain things or events. Information is data formatted to support decision making or define the relationship between two facts. Business Intelligence is the subset of data and information that actually has some explanatory power enabling effective managerial decisions to be made. So there is more data than information, and more information than intelligence. There are hundreds of lines of data in the
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I. Big data emerging factor in IT area A. World’s notice for big data An appearance of tablet PC and social media was the hottest issue in IT market in last year. There are some successful global companies that go along the trends although it is not that long period since they appeared in the world, such as Apple, Google, Facebook, and Twitter. They have something in common. That is, they are based on ‘Big Data’ technology. As a result of using ‘big data’, the amount of stored data by their
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ARTICLE CRITIQUE: PARTICIPANT PERCEPTIONS OF A NOVEL PHYSIOTHERAPY APPROACH Name Class Professor University/Institution City, State Date Introduction Smith et al. (2012) explored the importance of the Blue prescription to inducing physical activity among people with multiple sclerosis. Although, the title of the study appears long, it is complete and accurate. Specifically, the title implies that the qualitative study was conducted on the participants after they received medical
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..................... 5 3.0 RESEARCH DESIGN ................................................................................................................ 6 3.1 DATA COLLECTION ......................................................................................................................................... 6 3.2 DATA ANALYSIS .............................................................................................................................................. 6 5.0 REFERENCES ...
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Ahmed Mansour Big Data and Analytics Developer at OMS ahmedelmasry_60311@hotmail.com Summary Working in Big Data & Analytics (2014 - Present). Working in Business Intelligence (IBM Cognos) (2013 - Present). Working in ERP & Data manipulation (Oracle & Asp.net) (2011 - 2013). Skills (Pivotal HD (Hadoop),Oracle, Sql Server, MongoDB, Asp.net, JavaScript, Node.js, C#). Training (Pivotal HD Hadoop training). Master's Degree in Informatics at Nile University (2014-2016) Graduated from Faculty
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