Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts, this session will focus on using Big Data techniques to address large-scale data processing and complex machine learning model training on UCLA’s Hoffman2 cluster. Through hands-on examples and demonstrations, participants will explore the capabilities of popular Big Data software and libraries, including Spark and Dask, and how these tools can streamline data-intensive tasks on HPC systems.