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    Copiapo Mining Case Study

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    such immoral practices when the community went to their superiors. Another incident in which locals’ lives are being greatly affected is Canadian company’ Goldcorp’s operations in Guatemala. Citizens reported of various health problems such as rashes‚ loss of hair‚ respiratory problems‚ an increase in miscarriages‚ birth defects‚ animals to die from drinking the contaminated water and other major health

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    data communications

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    all other switches so that eventually all routes between source and destination are traversed. 12.7 Advantages: (1) An adaptive routing strategy can improve performance‚ as seen by the network user. (2) An adaptive routing strategy can aid in congestion control. Because an adaptive routing strategy tends to balance loads‚ it can delay the onset of severe congestion. Disadvantages: (1) The routing decision is more complex; therefore‚ the processing burden on network nodes increases. (2) In most

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    Data Modeling

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    Lecture Notes 1 Data Modeling ADBMS Lecture Notes 1: Prepared by Engr. Cherryl D. Cordova‚ MSIT 1 • Database: A collection of related data. • Data: Known facts that can be recorded and have an implicit meaning. – An integrated collection of more-or-less permanent data. • Mini-world: Some part of the real world about which data is stored in a database. For example‚ student grades and transcripts at a university. • Database Management System (DBMS): A software package/ system to facilitate

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    Uranium mining and its effects on the environment is a major concern today. Although uranium can be helpful‚ there are risks that have a negative impact on the health of humans‚ animals; as well as effects on air‚ soil and water. Uranium is a hard‚ dense‚ malleable‚ silver-white‚ radioactive metal which can be used as an abundant source of concentrated energy. Uranium is a naturally occurring element found in low levels within rock‚ soil‚ air and water. It is the highest numbered element to be

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    Data Analysis

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    multiple choice question is worth 1 point. ____ ____ ____ ____ ____ 1. In a questionnaire‚ respondents are asked to mark their gender as male or female. Gender is an example of the a. ordinal scale b. nominal scale 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

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    data modeling

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    Introduction to Data Modeling and MSAccess CONTENT 1 2 3 4 5 6 Introduction to Data Modeling ............................................................................................................... 5 1.1 Data Modeling Overview ............................................................................................................... 5 1.1.1 Methodology .......................................................................................................................... 6 1.1.2 Data Modeling

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    Big Data?

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    Mohammed Al Bittar - 1006091 1.  What is meant by big data? A term used for complex sets of data which becomes very difficult to process‚ manage‚ or capture by commonly-used software. 2. What is meaning of data-driven culture? A culture where decisions made upon analyzing real statistical information. Like how Wal-Mart checks on the weather in order to provide more products to the customers; because their statistical information shows that whenever there is a storm‚ customers by

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    Design and Data

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    There are many key differences that are important to understand between data oriented and process oriented approaches to designing a new system. The system focus of the data views and process views are entirely different. The process view focuses on what the systems supposed to do and when‚ while the data view has a focus on what the system needs to operate. Another noteworthy difference that distinguishes the two views is the design stability. The design stability of a process view is a more limited

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    Wastewater Data

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    Process in Houston CIVT 301 Outline Wastewater collection data in Houston What is sewage treatment? Where does wastewater come from? Factors that affect the flow of pipelines Industrial wastewater? Storm water/ Data The treatment plant operator Sources of wastewater Why treat wastes Waste water treatment facilities Treatment processes Drinking water What can be done to help? Wastewater collection data in Houston 640 square miles area 3 million citizens served 6‚250 miles

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    Currently thanks to advancing technology businesses are able to now reach a global market and as Priestley expresses (2011)‚ ‘businesses that have less than 10 staff but aren’t limited by geography. They have reach into cities all over the world and could easily be making millions in sales despite a relatively small headcount‚’(p.2)- in order to compete more and more small businesses are finding it necessary to integrate into to globalised entities. Globalization as defined in businessdictionary

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