Tasks performed: Data Analysis, development, and testing. In front-end (graphics, tables, statistics) and back-end (data loading and transformation in PySpark).
Language and tools: PySpark, SparkSql, Slate, Contour, Phonograph, SQL, Agile (VersionOne /Scrum)
The objective of the Data and Knowledge pathway is to train computer scientists specialized in the field of data and knowledge processing, from modeling and design to the development, implementation, and evaluation of effective and efficient processing systems.