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    Big Data Challenges

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    The Big Data Challenges Lamin A Tunkara CIS 500 – Information Systems for Decision Making Dr. Edwin OTTO July 16‚ 2013 Abstract The paper explores the challenges of big data and the strategies deployed by Volvo Car Corporation in instituting an information technology infrastructural tool that helped the company tap into its massive data‚ bank to extract information for meaningful process improvements. The paper culled information from Dumbill (2012) who in an article

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    Data protection & security What is Data Protection and Security ? This is the protection of data such as database from accidental‚ unauthorised or malicious access Data Protection Act Data protection Act controls and monitors the way personal and customer information is been used by organisations. The Data Protection Act 1998 (DPA 1998) is an Act of the UK parliament that defines the ways in which peoples information is been handed. 8 Data Protection Act Principles • Data must be Processed

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    BIG DATA ANALYTICS

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    Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. The challenges include capture‚ curation‚ storage search‚ sharing‚ transfer‚ analysis and visualization. At multiple TERABYTES in size‚ the text and images of Wikipedia are a classic example of big data. As of 2012‚ limits on the size of data sets that

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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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    Cloud Data Backup

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    Personal Data Using a Cloud Backup Solution” “I have not failed. I’ve just found 10‚000 ways that will not work.” (Thomas Edison). His words take on a new life as we explore the technology of backing up personal data. Choosing the method of backing up computer and mobile device data can be a difficult challenge. There are dozens of data backup solutions available in the market today ranging from external drive backups‚ to cloud backup services. The best solution of backing up personal data is a

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    Alliance Data Summary

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    and work with each other. The functions at Alliance Data have allowed the optimization of organizational resources to effectively and efficiently service their employees‚ their shareholders‚ and more importantly their internal and external customers. Alliance Data is an organization who has become highly successful by ensuring that they maintain a competitive edge by successful implementation regardless of diversions in their path. Alliance Data Systems is an industry leader that delivers branded

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    Compiling a Data Base

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    Compiling a Data base for use in the Teaching of Statistics 2009-2010 Introduction With regards to the teaching of statistics‚ generally speaking the majority of undergraduate students tend to struggle when it comes to learning and applying course material. As illustrated by the Wason Selection Task we are better able to understand problems that we commonly encountered in the Pleistocene period of our biological evolution. This study set out to investigate

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    Analysing and Storing Data

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    Introduction Data management within Human Resources (HR) is essential as this can be used when organisations have to make decisions‚ contact employees and also satisfy legal requirements. Aims and Objectives The aim of this report is to show the importance of why organisations must collect HR data. The objectives are: * To identify two types of data organisations must collect and how this supports HR * To describe two methods of storing HR records and the benefits of each * To explain two

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    Data Quality Processes

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    2 Analyze Information Environment 3 Assess Data Quality and data quality. The steps are shown in the figure and described in the box. 5 Identify Root Causes 6 Develop Improvement Plans 4 Assess Business Impact 7 Prevent Future Data Errors 9 Implement Controls 8 Correct Current Data Errors 10 Communicate Actions and Results The Ten Steps Process—Assessing‚ Improving‚ and Creating Information and Data Quality 1. Define Business Need and Approach— Define

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    3.7.2 Quantitative Data

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    3.7.2. Quantitative Data Analysis In this study‚ the quantitative data which was obtained through questionnaire which is used analyzed using descriptive statistics of central tendency measurements and percentages. The data was first coded‚ organized and discussed using mean‚ mode‚ frequency and median. The median will be used to show the central tendency for the ordinal scales and skewness to show the distribution of the population. In addition‚ percentages will be used for the nominal scale especially

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