Big Data Platforms and Tools for Data Analytics in the Data Science Engineering Curriculum

This paper presents experiences of development and teaching courses on Big Data Infrastructure Technologies for Data Analytics (BDIT4DA) as a part of the general Data Science curricula. The authors built the discussed course 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 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.