Spark Big Data Analysis of World Development Indicators
Spark Big Data Analysis of World Development  Indicators
Article PDF

Keywords

big data
spark
databricks
life expectancy
trademark applications
patent applications
tableau hadoop
world development indicators data analysis

How to Cite

Kunal Pritwani, Knox Wasley, & Jongwook Woo. (2018). Spark Big Data Analysis of World Development Indicators. Global Journal of Computer Science and Technology, 18(C3), 1–10. Retrieved from https://gjcst.com/index.php/gjcst/article/view/581

Abstract

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
Article PDF
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2018 Authors and Global Journals Private Limited