Data Science Model Curriculum Implementation for Various Types of Big Data Infrastructure Courses

This paper presents experiences of development and teaching three different types of Big Data Infrastructure courses as a part of the general Data Science curricula. The authors built the discussed courses based on the EDISON Data Science Framework (EDSF), in particular, Data Science Body of Knowledge (DS-BoK) related to Data Science Engineering knowledge area group (KAG-DSENG). The paper provides overview of the sandboxes, Cloud-based platforms and tools for Big Data Analytics and stresses importance of including into curriculum the practical work with Clouds for future graduates or specialists workplace adaptability. The paper discusses a relationship between the DSENG BoK and Big Data technologies and platforms, in particular Hadoop-based applications and tools for data analytics that should be promoted through all course activities: lectures, practical activities and self-study.