Big Data Analytics with Cloud Platforms.

Catalog description

Semester course; 3 lecture hours (delivered online, face-to-face or hybrid). 3 credits. Prerequisites: INFO 364 or INFO 601 ; and INFO 350 or INFO 648 . An in-depth, hands-on exploration of various cutting-edge information technologies used for big data analytics including the Hadoop environment, its architecture, MapReduce and its abstractions, and the Apache Spark software library. The course will also cover the importation of data from heterogeneous sources into big data platforms (extract-transform-load or ETL) using high-level scripting language and using big data analytics tools for data mining and text analytics. Students will use Java libraries for machine learning.