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    Data on Sale

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    |Case Study: Data for Sale | |Management Information System | | | |

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    Data Models

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    Data Models Consider a simple student registration. Specifically we want to support the tasks of students registering for or withdrawing from a class. To do this‚ the system will need to record data about what entities? What specific data about the entities will need to be stored? What is the cardinality between students and courses? Diagram the data model. While‚ considering a student class registration system for registering or withdrawing a system must have the capability to record data in

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    The Difference between Right and Wrong is Clear Is there a clear difference between right and wrong? Well‚ it all depends on what one has been trained to believe. When answering this question one must include many factors‚ such as religious morals and values‚ environmental influences‚ society‚ and etc. One might believe that stealing to provide for their family is okay‚ but another knows that you do not steal‚ no matter what the circumstances may be because it is wrong. As with the given example

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    Big Data

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    Big Data which companies are easily able to collect from their businesses‚ customers and employees. It explains the numerous advantages of using the data collected by companies effectively so that it can be used by the company in improving its efficiencies‚ sales‚ faster and quicker turnaround which in turn would lead to increase revenues and finally increased profits (which is what the stakeholders of the company are looking for).It illustrates the prominent fact that companies that are data-driven

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    data abstruction

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    WEEK-3 Data Abstraction Destructors • Destructors are functions without any type • The name of a destructor is the character ’~’ followed by class name – For example: ~clockType(); • A class can have only one destructor – The destructor has no parameters • Destructor automatically executes when the class object goes out of scope C++ Programming: Program Design Including Data Structures‚ Sixth Edition 2 Data Abstract‚ Classes‚ and Abstract Data Types • Abstraction – i

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    Data Mining

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    Data mining Data mining is simply filtering through large amounts of raw data for useful information that gives businesses a competitive edge. This information is made up of meaningful patterns and trends that are already in the data but were previously unseen. The most popular tool used when mining is artificial intelligence (AI). AI technologies try to work the way the human brain works‚ by making intelligent guesses‚ learning by example‚ and using deductive reasoning. Some of the more popular

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    The Go-Between

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    The Go-Between The short story ”The Go-Between” is written by Ali Smith in 2009‚ to celebrate the 60th anniversary of the United Nations’ adoption of the “Universal Declaration of Human Rights”. The declaration consists of thirty rights‚ which symbolise all the rights we‚ as human beings‚ should be obligated to have. Smith has found her inspiration in Article 13‚ the right to freedom of movement. The story takes place in Morocco in North Africa‚ and partly in Europe. Throughout the story‚

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    Comparative Data

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    Associate Level Material Comparative Data Resource: Ch. 14 of Health Care Finance Complete the following table by writing responses to the questions. Cite the sources in the text and list them at the bottom of the table. What criterion must be met for true comparability? | For true comparability‚ consistency‚ verification and unit measurement must be met. Consistency is vital to make sure that all things are done in the same manner throughout the same time period. Verification is

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    Data Dictionary

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    What Is A Data Dictionary? Per the IBM Dictionary of Computing‚ a data dictionary is a "centralized repository of information about data such as meaning‚ relationships to other data‚ origin‚ usage‚ and format." Essentially‚ it is documentation or data about data in a file or database‚ also called metadata. Typical Items In A Data Dictionary For each field or column in a database table‚ describe the following elements: Item Contents File/Table Name The name of the file or table where

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    Data Integrity

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    Types of Data Integrity This section describes the rules that can be applied to table columns to enforce different types of data integrity. Null Rule A null rule is a rule defined on a single column that allows or disallows inserts or updates of rows containing a null (the absence of a value) in that column. Unique Column Values A unique value rule defined on a column (or set of columns) allows the insert or update of a row only if it contains a unique value in that column (or set of columns)

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