Big Data Analytics problems are ubiquitous in scientific research, industrial production and business services. Developing and maintaining efficient tools for storing, processing and analysing Big Data in powerful supercomputers is necessary for discovering patterns and gaining insights for data-intensive topics including biomolecular science, global climate change, accurate weather prediction, cancer research and cybersecurity among others. Building enough man-power (human resources) to be able to utilize the increasing computational power in High Performance Computing (HPC) infrastructure to process and analyse Big Data is of great importance in advancing Big Data Analytics and Machine Learning.This course is divided into two parts to effectively fulfil its objectives. In the first part, learners will be provided with foundational knowledge on emerging tools for Data Analysis in HPC systems. We will investigate parallelization opportunities in standard examples of Big Data Analytics. Learners will also acquire skills on how to organize and store data in Data Lakes and Data Warehouses.
Providing interested learners with foundational knowledge on emerging tools for Data Analysis in HPC systems.
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Online (BigBlueButton)
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