The arrival of the Big Data era has become a major topic of discussion in many sectors because of the premises of big data utilizations and its impact on decision-making. It is an interdisciplinary issue that has captured the attention of scholars and created new research opportunities in information science, business, heath care, and many others fields. The problem is the Big Data is not well defined, so that there exists confusion in IT what jobs and skill sets are required in big data area. The problem stems from the newness of the Big Data profession. Because many aspects of the area are unknown, organizations do not yet possess the IT, human, and business resources necessary to cope with and benefit from big data. These organizations include health care, enterprise, logistics, universities, weather forecasting, oil companies, e-business, recruiting agencies etc., and are challenged to deal with high volume, high variety, and high velocity big data to facilitate better decision- making. This research proposes a new way to look at Big Data and Big Data analysis. It helps and meets the theoretical and methodological foundations of Big Data and addresses an increasing demand for more powerful Big Data analysis from the academic researches prospective. Essay 1 provides a strategic overview of the untapped potential of social media Big Data in the business world and describes its challenges and opportunities for aspiring business organizations. It also aims to offer fresh recommendations on how companies can exploit social media data analysis to make better business decisions—decisions that embrace the relevant social qualities of its customers and their related ecosystem. The goal of this research is to provide insights for businesses to make better, more informed decisions based on effective social media data analysis. Essay 2 provides a better understanding of the influence of social media during the 2016 American presidential election and develops a model to examine individuals' attitudes toward participating in social media (SM) discussions that might influence their decision in choosing between the two presidential election candidates, Donald Trump and Hilary Clinton. The goal of this research is to provide a theoretical foundation that supports the influence of social media on individual's decisions. Essay 3 defines the major job descriptions for careers in the new Big Data profession. It to describe the Big Data professional profile as reflected by the demand side, and explains the differences and commonalities between company-posted job requirements for data analytics, business analytics, and data scientists jobs. The main aim for this work is to clarify of the skill requirements for Big Data professionals for the joint benefit of the job market where they will be employed and of academia, where such professionals will be prepared in data science programs, to aid in the entire process of preparing and recruiting for Big Data positions.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1157644 |
| Date | 05 1900 |
| Creators | Halwani, Marwah Ahmed |
| Contributors | Prybutok, Victor R., Peak, Daniel, O'Connor, Brian Clark, Evangelopoulos, Nicholas |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | viii, 113 pages, Text |
| Rights | Public, Halwani, Marwah Ahmed, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
Page generated in 0.0021 seconds