as it contains alkalis‚ salts‚ toxins‚ etc b. Domestic Wastes & Sewage Disposal – these wastes are often allowed to pollute rivers and dams. c. Oil Spilling- Major form of marine pollution is formed by oil spill in oceans. This cause huge loss as well as brings lot of destruction to wildlife. 3. Land Pollution a. Soil
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CHAPTER 3 DATABASES AND DATA WAREHOUSES Building Business Intelligence CONTACT INFORMATION: Stephen Haag is the primary author of this chapter. If you have any questions or comments‚ please direct them to him at shaag@du.edu. THIS CHAPTER/MODULE IN SHORT FORM… This chapter introduces your students to the vitally important role of information in an organization and the various technology tools (databases‚ DBMSs‚ data warehouses‚ and data-mining tools) that facilitate the management
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http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor‚ Stern School of Business Director‚ Center for Digital Economy Research March 29‚ 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business
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four parts: 1. Population environment: With the development of science and technology‚ the growth of productive forces and people’s life getting better. More and more people need to use internet. Because of that ALIBABA will gets more potential consumers. Online trade will be more and more popular. 2. Economic environment: there are numbers of minor enterprises were grew up after Chinese government start to set up market economy. They need to build new markets. But they can’t get enough
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Innovation and Regulation (vi) Failure of Global Corporate Governance Impact of the Economic Crisis on India (i) Offshoot of Globalized Economy (ii)Aspects of Financial Turmoil in India- Capital Outflow Impact on Stock and Forex Market Impact on the Indian Banking System Impact on IT Sector Impact on Industrial Sector and Export Prospect Impact on Employment Impact on poverty (iii) Indian Economic Outlook India’s Crisis Responses and Challenges (i) RBI’s Crisis Response (ii) Government’s
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Conclusion 11 1.0 Introduction In order to access the internet‚ we need a computer software that is called web browser. Web browser is a must-have software in every PC or Laptops. Nowadays‚ there are more than a dozen alternative web browser we can use but the famous web browser that we all know are Google Chrome‚ Mozilla Firefox‚ Safari‚ Rockmelt and Internet Explorer. This are the example photos of the famous web browser :- Figure 1: Google Chrome Figure 2: Safari Figure 3:
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Chapter 1: ECONOMIC INTERDEPENDENCE.- “ When the U.S sneezes‚ the economies of other nations catch a cold” GLOBALIZATION . Is the process of greater interdependence among countries and their citizens. Agglomeration Economies.- are a powerful force that help explain the advantages of the "clustering effect" of many activities ranging from retailing to transport terminals. (Urbanization‚ Industrialization‚ Localization economies) FOREIGN OUTSOURCING.- Certain aspects of a product’s manufacture
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Data mining and warehousing and its importance in the organization Data Mining Data mining is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified. Technically‚ data
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Terms and Definitions related to Economics Administered price: A price set not by the forces of demand and supply‚ but by some authority like the Government or a regulatory authority. Agenda 21: Programme of action adopted at the Earth Summit in 1992. It has 21 chapters dealing with all aspects of sustainable development‚ conservation‚ and resource management. Appropriation Bill: A bill introduced in the Parliament together with the budget‚ seeking the approval of the House to permit expenditure
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DataBig Data and Future of Data-Driven Innovation A. A. C. Sandaruwan Faculty of Information Technology University of Moratuwa chanakasan@gmail.com The section 2 of this paper discuss about real world examples of big data application areas. The section 3 introduces the conceptual aspects of Big Data. The section 4 discuss about future and innovations through big data. Abstract: The promise of data-driven decision-making is now being recognized broadly‚ and there is growing enthusiasm
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