International Journal of Scientific and Research Publications, Volume 3, Issue 6, June 2013 ISSN 2250-3153 1 Big Data Landscape Shubham Sharma Banking Product Development Division, Oracle Financial Services Software Ltd. Bachelor of Technology Information Technology, Maharishi Markandeshwar Engineering College Abstract- “Big Data” has become a major source of innovation across enterprises of all sizes .Data is being produced at an ever increasing rate. This growth in data production is
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ARAB ACADEMY FOR SCIENCE, TECHNOLOGY & MARITIME TRANSPORT INSTITUTE OF INTERNATIONAL TRANSPORT & LOGISTICS ALEXANDRIA, EGYPT IMPLEMENTING BUSINESS INTELLIGENCE SYSTEM IN ALEXANDRIA PORT AUTHORITY A Thesis Submitted in Partial Fulfillment of the Requirements for The Degree of Master in International Transport and Logistics By Mahmoud Aly Supervised by Prof. Dr. Mohamed ElFayumy January
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University Decision Making Introduction Analytic competitor can be described as an organization engaged in the committed activities of accumulating data, organizing and analyzing it into meaningful information, and following through with business decisions and activities informed by that information. In order for organizations to prosper as an analytics competitor they must use analytics data because most companies are offering similar products and services. They also must know what the customer
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of IS & Business Business Intelligence and Analytics Abhishek Kumar Singh Anbarasan Thangapalam R Deepak Chattani Naadiya Danapal Ram Vibhakar S [A0120022] [A0119959] [A0119975] [A0119961] [A0120054] A Case study on Business Intelligent and
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follows: How did the Cincinnati Zoo benefit from business intelligence How did it enhance operational performance and decision making? After reading over this case study, I have come to the prediction that Cincinnati Zoo benefits from business intelligence by first upgrading its information systems to focus more on an alytics and data management standpoint (Laudon, 2014) The Zoo used infrastructure for collecting, storing, and analyzing data produced by business databases, data warehouses, and data markets
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Term Paper Format Format for Term Papers ________________________________________ Below are some links and a general outline on how to write your term papers. Depending on your topic you may want to rely on the scientific report style or literature review styles, or a combination of the two. The choice is yours. Links to these styles can be accessed by the buttons below. Below the three buttons I outline the scientific report style. More details can be found by clicking the scientific format
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roles and responsibilities of Human Resources departments are transforming as the modern business faces pressures of globalization. The global supply of talent is short of its long-term demand, and the gap is a challenge for employers everywhere. The shortage between the demand and supply of talent is likely to continue to increase, notably for high skilled workers and for the next generation of business executives. Now organizations need to place greater emphasis on attracting human capital
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in Scientific or non-Business Domains. Many of the Books and Reference Materials available implicitly support Business Domain concepts. If you look a Data Warehousing Books, Online Analytical Processing (OLAP) books, even many of the current Big Data and NoSQL books are oriented towards Business Data. If you look at the Tools available, such as Extract, Transform and Load (ETL) tools, and Data Processing Tools like Hadoop, Storm, and Spark, you still see primarily Business Domain support. Think
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whenever needed. The wide spread of database management systems has also influenced the recent massive gathering of all sorts of information. Today, we have far more information than we can handle, from business transactions and scientific data, to satellite pictures, text reports and military intelligence. Information retrieval is not enough anymore for decision-making. Faced with huge collections of data, we have now created new needs to help us make better managerial choices. As we make a shift from
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unstructured such as email, video, and audio. When the user could store the data by picking out which tools are appropriate in order to convert into the desired form and stored data. CHALLENGES OF BIG DATA Big Data associated with various of business opportunities which also poses of numerous challenges which are: • COST MANAGEMENT • SCALABILITY • SECURITY AND PRIVACY Any big data store sensitive information such as email addresses, credit card numbers, and passwords. Nowadays, data theft
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