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(PDF) Real-Time Big Data Analytics

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Added on  2021-05-30

(PDF) Real-Time Big Data Analytics

   Added on 2021-05-30

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Running Head: REAL TIME ANALYTICSReal Time AnalyticsName of the Student:Name of the University:Course ID:
(PDF) Real-Time Big Data Analytics_1
1REAL TIME ANALYTICSTable of ContentsBackground Information..............................................................................................................................................................................Reporting / Dashboards...............................................................................................................................................................................Research.......................................................................................................................................................................................................Recommendations for CEO.........................................................................................................................................................................Cover Letter.................................................................................................................................................................................................References....................................................................................................................................................................................................
(PDF) Real-Time Big Data Analytics_2
2REAL TIME ANALYTICSBackground InformationThe world population is expected to grow to about 10 billion by 2050. The objectiveof Sustainable development goal 2 (SDG 2) is to feed an overgrowing population of theworld. As of present even though there is enough food to feed the world population yet, 815million people go hungry. To meet the growing demand of food, production must be doubledby 2050. The aim before entrepreneurs, food and agricultural organization is to find solutionsto every increasing population.Food and agricultural organization is a body of the United Nations. The task of theorganization is to deal with the ever growing needs of countries. It aids countries in meetingthe demands of food through dissipation of knowledge in the field of agriculture, piscicultureand improvement in forest products. In order to meet the food target for 2050 it must ensurethat food production throughout the world is doubled. Various organizations, entrepreneurs involved in increasing food production haverecognised that in order to understand the need of the world an effective BI solution isimperative. A BI solution would provide them with the opportunity to understand the worldfood production based not only on different countries but also different types of food items. The Global Food Consulting firm in order to provide a BI solution has outlined fewkey objectives:oTo provide a comparative study of food production between Y1961 andY2013oTo understand the increase in food production from Y1961 and Y2013oTo undertake a comparative analysis of different Meat supplies in the worldoTo understand the feed production in the world Reporting / Dashboards and ResearchThe data for the present analysis provides information of food and feed productionsince 1961 to 2013. The data provides insights based on different countries of the world.Moreover, data regarding countries based on continents (Regions) and sub-regions was addedfor advancement of analysis. Initial analysis of the data shows that there are some missingdata. In addition, data contains information on some of the countries which do not exists atpresent. We have tried to compare the information of food production of Y1961 and Y2013.Further, we also compare the top 10 food producing countries and bottom 10 countries.
(PDF) Real-Time Big Data Analytics_3
3REAL TIME ANALYTICSIn the above dashboard, the top left hand image provides summary of 1961 refers that peopleof United States America produces highest amount of food 559347 tons followed by China477279 tons India (309565 tons), Germany (212839 tons) and France (138385 tons) occupythird, fourth and fifth places respectively. The following countries in terms of foodproduction amount are Poland, Brazil, United Kingdom, Japan and Italy. The top 10 foodproduction is observed least in case of Italy. The summary of 2013 in top right hand image indicates that Mainland China produceshighest amount of food 3191155 tons followed by India 1336593 tons The United States ofAmerica 938639 tons is in third place and Brazil 439967 tons is in fourth place that alsoproduces a significant amount of food. Russian Federation occupies fifth place with foodproduction of 370913 tons. Sixth, seventh, eighth, ninth and tenth place is occupied taken byNigeria, Indonesia, Germany, Mexico and Pakistan respectively. Summary, in the form of numbers is thought to provide direct evidence of the growth invalues. Moreover, by looking at the numbers one can interpret how the positions of thecountries have changed from Y1961 to Y2013. Just by comparing the numbers the growth infood production can be envisioned. Moreover, one can also visualise how countries likeChina and India have increased their food production to meet the growing demand for food. Thus, it can be anticipated India is the one of the fastest growing countries in terms of foodproduction that was not within first five places in 1961 but occupied the place within 42years. China also is a country that is capable of maintaining its trend in production of foodthroughout a long period of 42 years. The food production of 1961 compared by area and element finds the outcomes of food andfeed production. In United States of America and France, the food production is greater thanfeed production. In China, the food production is far greater than the feed production. Thesimilar scenario is present in case of India also. In Germany, the food and feed production arealmost equal. It is a notable fact that food production is highest for United States of Americafollowed by China and India. The feeding is mostly observed in United States of Americafollowed by Germany.
(PDF) Real-Time Big Data Analytics_4

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