JSB Market Research: Indias Mining Fiscal Regime: H1 2014 On 11rd June 2014 Synopsis Timetrics Indian mining fiscal regime report outlines governing bodies‚ governing laws‚ mining ownership and licenses‚ rights and obligations and tax-related information on 12 commodities: coal‚ iron ore‚ zinc‚ lead‚ copper‚ bauxite‚ gold‚ silver‚ chromium‚ manganese‚ diamond and uranium. Summary The mining industry in India is governed by Ministry of Mines‚ Indian Bureau of Mines (IBM) and Geological
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Foreign Direct Investment in the mining sector in Nigeria. It is argued that only those countries that have reached a certain income level can absorb new technologies and benefit from technology diffusion‚ and thus reap the extra advantages that FDI can offer. The mining industry in Nigeria is dominated by oil. Indeed‚ Nigeria is the largest producer of this commodity in Africa and sixth largest producers in the world. This research study makes use of secondary data. The variables used are the Foreign
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The impacts of implementing a data warehouse in the banking industry Data warehousing in the financial sector Introduction In the modern banking and financial sector‚ there is keener and stronger competition and many enterprises are much more eager to get immediate and accurate information to make better and faster decisions. Furthermore‚ with many banks fighting to capture new customers and the rapidly growing need for larger amounts and more specific information‚ traditional databases are incapable
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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Big Data In It terminology‚ Big Data is looked as a group of data sets‚ which are so sophisticated and large that the data can not be easily taken‚ stored‚ searched‚ shared‚ analyzed or visualized making use of offered tools. In global market segments‚ such “Big Data” generally looks throughout attempts to identify business tendencies from accessible files sets. Other areas‚ exactly where Big Data continually appears include various job areas of research for example the human being genome and also
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Big data describes innovative methods and technologies to capture‚ distribute‚ manage and analyze larger-sized data sets with high rate and diverse structures that conventional data management methods are unable to handle. Digital data is now everywhere—in every sector public or private‚ economy‚ organization and customer of digital technology. There are many ways that big data can be used to create value across sectors of the global economy. It has demonstrated the capacity to improve predictions
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2.1. DATA AND INFORMATION Data Data is the raw materials from which information is generated. Data are raw facts or observations typically about physical phenomena or business transactions. It appears in the form of text‚ number‚ figures or any combination of these. More specifically data are objective measurements of the attributes (the characteristics) of entities (such as people‚ places‚ things and events) According to Loudon and Loudon- “Streams of raw facts representing events
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RESEARCH DATA ANALYST JOB PROFILE SUMMARY JOB CATEGORY: JOB TITLE: Research Support Research Data Analyst JOB CATEGORY DEFINITION: This specialty covers the design‚ implementation and evaluation of various research projects. Functions include providing support in areas such as instrumentation‚ data management‚ laboratory operations and general administration. JOB TITLE DEFINITION: The Research Data Analyst gathers and analyzes data from various databases and sources‚ performing statistical and/or
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4 3.5 THE DATA SOURCES 4 4.0 RECOMMENDATION 5 5.0 CONCLUSION 6 6.0 REFERENCES 7 CHALLENGES AND ISSUES IN IMPLEMENTING BIG DATA IN MALAYSIA 1.0 INTRODUCTION Every organizations are now speaking about Big Data and some has made it into practice. The initiative of harnessing data to amplify capabilities in achieving organizational objectives has made it possible for practitioner as well as senior management in their decision making. In Malaysia‚ the culture of acceptance of Big Data to help in
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As the development of science and technology‚ hydraulic mining machine has become more and more popular in mining processing. In order to be able to reach the world advanced level‚ we have to recognize the difference‚ and constantly improve their standards. How is about hydraulic mining machine? Advantages of hydraulic mining machine: 1. High production capacity‚ 2. Easy maintenance‚ 3. Stable performance‚ 4. Low consumption. 5. Equiped with hydraulic system of safety oil cylinder
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