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    History of Database Processing. Preliminaries  Why is there a need to study File Processing and DBM? Why do we use Databases?  Simply because of ourselves and there is always something that happens around us.   Collect Data Use and Reuse data Historical Perspective Historical Perspective Historical Perspective Historical Perspective The Electronic Age: Diskette Punch Card Why do we Humans desire Databases?  Man has always had the desire to record

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    Data Analysis

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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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    Data Security

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    Module 5 Data Security What is a computer security risk? A computer security risk is any event or action that could cause loss of or damage to computer hardware‚ software‚ data‚ information‚ or processing capability. Some breaches to computer security are accidental‚ others are planned intrusions. Some intruders do no damage; they merely access data‚ information or programs on the computer before logging off. Other intruders indicate some evidence of their presence either by leaving a

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    Data Security

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    Subnetting __________. b. is also called subnet addressing 2. A virtual LAN (VLAN) allows devices to be grouped __________. a. logically 3. Convergence combines voice‚ data‚ and video traffic __________. a. over a single IP network 4. Each of the following is a convergence security vulnerability except __________. a. convergence resource attacks (CRA) 5. Which of the following is not true regarding a demilitarized zone (DMZ)? a. It contains servers that are only used by

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    Walmart Data

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    The scenario is the number of Wal-Mart stores for each year from 2003 - 2010. The data is (2003‚ 4906)‚ (2004‚ 5289)‚ (2005‚ 6141)‚ (2006‚ 6779)‚ (2007‚ 7262)‚ (2008‚ 7720)‚ (2009‚ 8416)‚ (2010‚ 8970). Each of these graphs is plotted with these points. With this plot I need to formulate a curve of best fit using the correlation coefficient. This graph is about the number of Walmart employees. The X-axis is the Time ( years after 2002). The Y-axis is the number of Walmart employees (in thousands)

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    Check Fraud and Check Washing Week 6 Paper Park University Check Fraud and Check Washing Check fraud and check washing are both highly illegal and both are increasing at an alarming rate. Many people can be fooled in todays world with fraudulent checks and not know that anything was incorrect until receiving notice from their financial institution. Check washing is when mail snatchers will take a check from you and use chemicals to erase the things written on the check and make the check payable

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    Data Gathering

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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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    Data Analysis

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    c. ratio scale d. interval scale 2. Data obtained from a nominal scale a. must be alphabetic b. can be either numeric or nonnumeric c. must be numeric d. must rank order the data 3. In a post office‚ the mailboxes are numbered from 1 to 4‚500. These numbers represent a. qualitative data b. quantitative data c. either qualitative or quantitative data d. since the numbers are sequential‚ the data is quantitative 4. A tabular summary of a set of data showing the fraction of the total number

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    Data Representation

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    Data Representation Data and instructions that are presented in a written or typed format can only be understood by the user. If the data is not in the user’s language‚ s/he will not be able to understand it. It is the same way with the computer; the computer’s language is binary 0s and 1s. The computer cannot understand typed or written instructions or data. Whenever data or instructions or input to the computer it is first converted to 0s and 1s‚ these are called binary digits (bits). There

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    Big Data

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    .......................................................................................... 3 2.1.2 Non-functional requirement ............................................................................................. 5 3. Logical design: Data Modeling (ERD) .................................................................................... 6 4. Logical design: Process Modeling (DFD) ............................................................................... 9 5. Decision

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