Data Analysis The first question of the set of 15 questions was about the age limit of the respondents. We collected all data from the age group starting from 15years. Most of the respondents fall into the age limit of 16-25 years which is 54% of the total respondents. 18of the 50 respondents were 26-35 years of age which is 36%. [pic] [pic] Q1: your most preferable Schemes when you are Thinking about a savings account? This was the question that gives the critical information
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an era of big data‚ this data-driven world has the potential to improve the efficiencies of enterprises and improve the quality of our lives; however‚ there are a number of challenges that must be addressed to allow us to exploit the full potential of big data. This paper focuses on challenges faced by online retailers when making use of big data. With the provided examples of online retailers Amazon and eBay‚ this paper addressed the key challenges of big data analytics including data capture and
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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 subject that
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LEARNING STUDY MODULE DIS 215: PRESERVATION AND CONSERVATION OF ARCHIVAL MATERIALS KENYA SCHOOL OF PROFESSIONAL STUDIES DEPARTMENT OF LIBRARY AND INFORMATION SCIENCE Copyright [Add copyright text here] KENYA SCHOOL OF PROFESSIONAL STUDIES DEPARTMENT OF LIBRARY AND INFORMATION SCIENCE P.O BOX 60550 - 00200 NAIROBI KENYA Fax: +[Add country code] [Add area code] [Add telephone #] E-mail: [Add e-mail address] Website: www.ksps.ac.ke Acknowledgements The Kenya School of
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SCM - 015066 4. Aizada Aldekova - SCM - 016021 5. Tahmina Aktar Daizy - SCM - 016715 6. Mohamed Faizal - SCM - 017084 Introduction Maxis Communications Berhad is a leading mobile phone service provider in Malaysia. Maxis Communications Berhad was established in the early 1990s and commenced mobile telecommunications operation in August 1995. It was then listed under the first board in Kuala Lumpur Stock Exchange (KLSE). At present Maxis Communication Berhad is the biggest telecommunication
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UNCLASSIFIED UNCLASSIFIED 1 Open Data Strategy June 2012 UNCLASSIFIED UNCLASSIFIED 2 Contents Summary ................................................................................................... 3 Introduction ................................................................................................ 5 Information Principles for the UK Public Sector ......................................... 6 Big Data .......................................................................
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best alternative in the following: Q.1 In the relational modes‚ cardinality is termed as: (A) Number of tuples. (B) Number of attributes. (C) Number of tables. (D) Number of constraints. Ans: A Q.2 Relational calculus is a (A) Procedural language. (C) Data definition language. Ans: B Q.3 The view of total database content is (A) Conceptual view. (C) External view. Ans: A Q.4 Cartesian product in relational algebra is (A) a Unary operator. (B) a Binary operator. (C) a Ternary operator. (D) not defined
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economic effects or positive economic effects on the firms studied. However methodological shortcomings in the prior studies have been identified and the area of study has become emotionally charged (Marlow‚ 2008). In this paper‚ I employ a method and data sample which are not subject to the primary criticisms that has been raised against prior empirical studies. I examine the
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IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT‚ VOL. 54‚ NO. 4‚ NOVEMBER 2007 729 Transfer From Offline Trust to Key Online Perceptions: An Empirical Study Kun Chang Lee‚ Member‚ IEEE‚ Inwon Kang‚ and D. Harrison McKnight Abstract—Research has provided little evidence that trust in an offline bank can encourage adoption of the bank’s online business. Yet‚ more and more brick-and-mortar banks and other businesses are investing in online Web sites that supposedly “leverage” positive consumer
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project. In primary data collection‚ we collect the data ourselves by using methods such as interviews and questionnaires. The key point here is that the data we collect is unique to us and our research and‚ until we publish‚ no one else has access to it. There are many methods of collecting primary data and the main methods include: • QUESTIONNAIRES • INTERVIEWS • FOCUS GROUP INTERVIEWS • SURVYES • OBSERVATION • DIARIES • ANALYSING THE DATA The primary data‚ which is generated by
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