Research
Spark Big Data Analysis of World Development Indicators
We would like to analyze different development indicators such as life expectancy of a country, patent applications by residents, and trademark of applications which serves as great analyzation for the Business Analysts, Financial Analysts, and Data Scientists. Data set is collected from the World Bank websites, for this analysis, which has world development indicators with respect to the country. The data is analyzed based on the yearly timeline, geographical locations on the map and also top 10 countries for a particular world development indicator. Moreover, it has found that the countries where the life expectancy is high the people are more creative and the patent applications are created on a huge scale. Also, the trademark applications are more where the life expectancy is higher. This analysis provides insights on the world development indicators. In the paper, data analysis is done on a huge dataset by using Spark on Hadoop Big Data cluster and its visualization charts are presented.
Historical College Scorecard Big Data Analysis using In-Memory Processing
Data set is collected for colleges of United States. We would like to analyze different dimensions like SAT scores, ear- ning after graduation, net price and grant financial aids which is a great analyzation for the students. Big Data platform and BI tool such as Spark and tableau are adopted for data analy- zation and visualization. It is found that the top colleges for mean earnings are from medical field, mean earnings with respect to states, detailed comparison of average net price of California and New York, SAT scores for different colleges and also average undergraduates receiving Pell Grant in each colle- ges which will help students to select a college which meets their requirement.
