A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report
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UNIVERSITY OF AGRICULTURE AND TECHNOLOGY. INOORERO UNIVERSITY RESEARCH METHODOLOGY : ROTICH BENARD KIPKEMOI BOC-008-0312/2007 DATA COLLECTION METHODS Methods of data collection. The term data means groups of information that represent the qualitative or quantitative attributes of a variable or set of variables. Data are typically the results of measurements and can be the basis of graphs‚ images‚ or observations of a set of variables. Data are often viewed as the lowest level of abstraction from
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What is the purpose of this exercise? Are there any safety concerns associated with this exercise? If so‚ list what they are and what precautions should be taken. 1. Safety precaution while handle specimen is important. 2. Wear appropriate precaution while handling specimen such as gloves‚ apron‚ and goggles. 3. Making sure label each test strips result to prevent confusion. 4. Good hand washing technique. Exercise 1: Physical and Chemical Analysis of Urine Observations
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Benefits of a Database and Information-Gathering Techniques CIS111 July 27‚ 2013 I am being interviewed by ACME Global Consulting services as a potential new employee to its growing work force of world-class systems analysts and requirements engineering group. Through a tip‚ I found out that they will be asking several questions relating to planning for a new database for one of their national restaurant chains. I found out that one of the executives at the restaurant chain
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Nagham Hamid‚ Abid Yahya‚ R. Badlishah Ahmad & Osamah M. Al-Qershi Image Steganography Techniques: An Overview Nagham Hamid University Malaysia Perils (UniMAP) School of Communication and Computer Engineering Penang‚ Malaysia nagham_fawa@yahoo.com Abid Yahya University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia R. Badlishah Ahmad University Malaysia Perlis (UniMAP) School of Communication and Computer Engineering Perlis‚ Malaysia
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Data Mining DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience
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Marketing Research Focus Group Report November 21‚ 2011 The market of computers has many different options and brands for customers to choose from. Everybody has their own opinion on why they buy a certain brand and what they think are the best qualities on a computer. The knowledge buyers have can vary from someone who knows everything about the computer and how it works on the inside; to the average buyer who mainly needs it for school‚ business‚ or personal everyday use. The big discussion
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CONSUMER BENEFITS FROM E-COMMERCE This paper aims to discuss the positive impacts that E-commerce has on consumers and how it has made their lives easier. E-commerce is the process of buying and selling products and services using the Internet. The product or service is offered to the costumer in an online shop‚ sellers’ website. The process of purchasing things online is very easy‚ the consumers just have to select and order the products or services they want to buy‚ which are then paid by credit
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Data Gathering ➢ used to discover business information details to define the information structure ➢ helps to establish the priorities of the information needs ➢ further leads to opportunities to highlight key issues which may cross functional boundaries or may touch on policies or the organization itself ➢ highlighting systems or enhancements that can quickly satisfy cross-functional information needs ➢ a complicated task especially in a large and complex system ➢ must
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Research methods: Data analysis G Qualitative analysis of data Recording experiences and meanings Distinctions between quantitative and qualitative studies Reason and Rowan’s views Reicher and Potter’s St Paul’s riot study McAdams’ definition of psychobiography Weiskrantz’s study of DB Jourard’s cross-cultural studies Cumberbatch’s TV advertising study A bulimia sufferer’s diary G Interpretations of interviews‚ case studies‚ and observations Some of the problems involved in drawing
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