A hands-on workshop on “Data Science and Analysis using Spark” was conducted as part of the academic enrichment initiatives of the School of Computer Studies, SBUP. The session aimed to expose students to Apache Spark, one of the industry’s most widely used big data processing frameworks.
The resource person delivered a practical, application-oriented session covering:
Fundamentals of Spark architecture and its ecosystem
Data analysis workflows and transformations using Spark
Hands-on exercises with real-time datasets
Applications of Spark in large-scale data science and analytics
Students engaged in live coding, dataset processing, and real-time data analysis tasks, gaining direct exposure to industry-relevant Spark workflows.