Recent Trends in Computer Science and Software Technology ISSN: 3139-1389 (Online)

Authors: Abhishek Kanojiya, Gyanchand Shukla

Abstract: The field of data science has evolved significantly in recent years, with an increasing emphasis on leveraging big data technologies to extract valuable insights from large datasets. This paper provides a comprehensive review of the intersection between data science and big data technologies. We delve into key topics such as data preprocessing, machine learning for data analysis, data visualization, and data-driven decision-making within the context of big data. Additionally, we explore the role of essential big data technologies like Hadoop and Spark in enhancing data science practices. Through a structured analysis, this paper aims to shed light on the synergies and challenges associated with the integration of data science and big data technologies.

Keywords: Data Science, Big Data, Data Preprocessing, Machine Learning, Data Visualization, Hadoop, Spark, Data-Driven Decision-Making, Insights