BIG DATA ANALYTICS.

Catalog description

Pre-requisites: CSCD 320 with a grade ≥C+; CSCD 327 with a grade ≥C+. Corequisite: CSCD 530L . Examines the basic concepts and practices of big data computing. Covers the challenges that arise when the size of data to be analyzed outgrows the limits of traditional data analytics systems, the new challenges big data computing introduces and the evolution of the big-data ecosystem. Touches upon classical subjects such as MapReduce, modern approaches such as Spark, and the approaches of analyzing semi-structured and unstructured data. Companion course to CSCD 530L .