DATA-ANALYTICS
The challenges associated with handling big data, including its volume, variety, and velocity, are discussed, and how data engineering and cleaning techniques are crucial for preparing data for analysis.
Abstract
ABSTRACT– The exponential growth of data in the modern world presents both challenges and opportunities for researchers. This paper explores the field of data analytics, focusing on the methods and tools used to extract valuable insights from large and diverse datasets. We discuss the challenges associated with handling big data, including its volume, variety, and velocity, and how data engineering and cleaning techniques are crucial for preparing data for analysis. We then delve into various data analysis approaches, such as exploratory data analysis, predictive modeling, and machine learning, highlighting their strengths and applications. Finally, we emphasize the importance of ethical considerations and responsible use of data analytics in research. Index Terms- Component, formatting, style, styling, insert.