Comparative analysis of Apache Hadoop and Apache Spark for business intelligence.
By Singh, S., Alam, M. N., Kaur, B., Kaur, K., Kaur, S., & Hossain, S.
Singh, S., Alam, M. N., Kaur, B., Kaur, K., Kaur, S., & Hossain, S. (2025, February 10). Comparative analysis of Apache Hadoop and Apache Spark for business intelligence. AIP Conference Proceedings, 3224(1), 020040. https://doi.org/10.1063/5.0246086
This scholarly paper provides a technical comparison of two major big data processing frameworks: Hadoop and Spark. The authors evaluate these based on performance and suitability for real-time BI tasks. The research demonstrates that while Hadoop is cost-effective for batch processing, Spark’s in-memory capabilities offer speed advantages for analytics. This peer-reviewed source is vital for understanding underlying infrastructure that enables advanced AI and BI applications.