“How Personal Can Ethics Get?” Assignment # 1 Instructor: Bus 520 April 24‚ 2011 1. Discuss how personal differences and preference can impact organizational ethics. Every organization has a standard or code of ethics every employee is expected to adhere to. Not everyone within an organization share the same moral values or principles‚ this is due to cultural differences and understanding ethics competency. Ethics competency is described as the knowledge‚ skills and abilities to incorporate
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The Personal Data (Privacy) Ordinance and Octopus Card System Lam Ka Chun 3035069794 The University of Hong Kong CCST9029 Cyberspace Crime: Technology and Ethics Dr. K.P. Chow Ms. Chan Vivien Pui Shan Abstract This article is about the leakage of data of the Octopus card company. In 2010 ‚ Octopus sold the information of their clients to 6 companies for promotion and made a profit of 44 million Hong Kong dollars over 4.5 years .In view of the case of Octopus case‚ this article will go
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Using weak passwords‚ Unencrypted data storage‚ passing clear text credentials over the network‚ using weak authentication mechanisms‚ allowing prolonged session lifetime Access to credentials through data theft‚ access to authenticated user session‚ attacker can do network eavesdropping‚ brute force attacks‚ dictionary attacks‚ cookie replay attacks Use strong password policies‚ do not store credentials in insecure manner‚ use authentication mechanisms‚ encrypt communication channels‚ use secure
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Data migration • Data migration is the process of transferring data between storage types‚ formats‚ or computer systems. • Data migration is usually performed programmatically to achieve an automated migration‚ freeing up human resources from tedious tasks. • It is required when organizations or individuals change computer systems or upgrade to new systems. • To achieve an effective data migration procedure‚ data on the old system is mapped to the new system providing a design
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Department of Education Office of Federal Student Aid Data Migration Roadmap: A Best Practice Summary Version 1.0 Final Draft April 2007 Data Migration Roadmap Table of Contents Table of Contents Executive Summary ................................................................................................................ 1 1.0 Introduction ......................................................................................................................... 3 1.1 1.2 1.3 1.4 Background
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TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics
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Data Processing All through the different stages in civilization‚ man has always tried to look for ways to simplify work and to solve problems more efficiently. Many problems involved numbers and quantities‚ so man started looking for easier ways to count‚ to add‚ subtract‚ multiply and divide. As society has grown in both size and complexity‚ so have data that are generated by it through time. Definition of Terms Data – is defined as any collection of facts. Thus sales reports‚ inventory
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Stock Exchange forecasting with Data Mining and Text Mining (Marketing and Sales Analysis) Full names : Fahed Yoseph TITLE : Senior software and Database Consultatnt (Founder of Info Technology System) E-mail: Yoseph@info-technology.net Date of submission: Sep 15th of 2013 CONTENTS PAGE Chapter 1 1. ABSTRACT 2 2. INTRODUCTION 3 2.1 The research problem. 4 2.2 The objectives of the proposal. 4 2.3 The Stock Market movement. 5 2.4 Research question(s). 6 2. Background 3. Problem
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Distributed Systems Coursework Part 1: Big Data Student ID: 080010830 March 16‚ 2012 Word Count: 3887 Abstract Big data is one of the most vibrant topics among multiple industries‚ thus in this paper we have covered examples as well as current research that is being conducted in the field. This was done based on real applications that have to deal with big data on a daily basis together with a clear focus on their achievements and challenges. The results are very convincing that big data is a critical
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4V of Big Data? Imagine all the information you alone generate each time you swipe your credit card‚ post to social media‚ drive your car‚ leave a voicemail‚ or visit a doctor. Now try to imagine your data combined with the data of all humans‚ corporations‚ and organizations in the world! From healthcare to social media‚ from business to the auto industry‚ humans are now creating more data than ever before. volume‚ velocity‚ variety‚ and veracity. Volume: Scale of Data Big data is big. It’s
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