Analyzing Twitter Data Using Apache Hive—A Big Data Technology Exploration

In the daily lives of individuals, the impact of our personal beliefs may go unnoticed, but they have the potential to influence others significantly. Prominent figures and beloved celebrities, often through endorsements and interviews, possess substantial power to mold public perceptions and worldviews. The Internet has ushered in an era of rapid information dissemination, resulting in an explosive growth of textual data across the digital landscape. Modern individuals express their thoughts and opinions on a multitude of online platforms, leading to a continuous surge in data generation, growing in significance with each passing day. Notably, Twitter, a prominent social media platform, witnesses the daily posting of millions of tweets, serving as a valuable information source for numerous individuals. These tweets harbor great potential for application in business, small-scale industries, policy formulation, and various research endeavors. To harness valuable insights from this incessant data influx, organizations must adopt new tools and techniques to gain a competitive advantage, directly impacting profits in today’s knowledge-driven economy. This paper thoroughly examines emerging big data technologies, focusing on elucidating their key attributes and operational mechanisms while offering a comparative analysis from a business perspective.