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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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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Outline Introduction Distributed DBMS Architecture Distributed Database Design Distributed Query Processing Distributed Transaction Management Data Replication Consistency criteria Update propagation protocols Parallel Database Systems Data Integration Systems Web Search/Querying Peer-to-Peer Data Management Data Stream Management Distributed & Parallel DBMS M. Tamer Özsu Page 6.1 Acknowledgements Many of these slides are from notes prepared by Prof. Gustavo
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CHAPTER 6‚ Case #1 BETHESDA MINING To analyze this project‚ we must calculate the incremental cash flows generated by the project. Since net working capital is built up ahead of sales‚ the initial cash flow depends in part on this cash outflow. So‚ we will begin by calculating sales. Each year‚ the company will sell 500‚000 tons under contract‚ and the rest on the spot market. The total sales revenue is the price per ton under contract times 500‚000 tons‚ plus the spot market sales times the
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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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CHAPTER 12 ROUTING IN SWITCHED NETWORKS A NSWERS TO Q UESTIONS 12.1 The average load expected over the course of the busiest hour of use during the course of a day. 12.2 The tradeoff is between efficiency and resilience. 12.3 A static routing strategy does not adapt to changing conditions on the network but uses a fixed strategy developed ahead of time. With alternate routing‚ there are a number of alternate routes between source and destination and a dynamic choice of routes is
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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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Data Projectors Amy Shipman $50- $66‚525 What is a data projector? It is “a device that projects computer output onto a white or silver fabric screen that is wall‚ ceiling or tripod mounted." The three most common types of data projectors are the LCD‚ DLP‚ and the LCoS. Each type of projector will project your audio and video‚ they just have different ways to process the output of your audio and video. DLP stands for Digital Light Processing. This type of data projector has a light that
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Data Tech‚ Inc. 2 Determine whether Jeff should give greater priority to a smaller facility with possibility of expansion or more into a larger facility immediately. According to Sliwinski and Gabryelczyk‚ facility management is a customer-oriented complete service‚ covering the comprehensive decision-making principles for optimum planning‚ usage and adaption of buildings
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HATCO Data Set Description The HATCO data set gives data from a survey of customers of the HATCO company. The data set consists of 100 observations on 14 separate variables. Three types of information were collected. The first type of information is the perception of HATCO on seven attributes identified in past studies as the most influential in the choice of suppliers. The respondents‚ purchasing managers of firms buying from HATCO‚ rated HATCO on each attribute. Each of these 7 variables
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