(16:137:539) Introduction to Cloud and Big Data Systems

Course Number
16:137:539
Credits
3
Prerequsites
Students should have taken python or have an equivalent programming background.
Semesters(s) Offered
Spring
Fall
Description

Learn fundamental concepts and key topics of cloud and big data systems including models and platforms, virtualization, distributed file systems, the MapReduce programming model, big-data processing frameworks (Apache Hadoop and Spark), new database models, analytics platforms, and enabling technologies. Examine recent technological solutions and research in cloud computing and big data, with a focus on bridging the gap between data analytics and data-driven platforms.

Testimonials

Course Testimonials

"I learnt the most from the Intro to Cloud and Big Data course (16:137:602OC). The class introduced me to the world of massive data, data management and also performing analytics in different environments. It also provided an introduction to industry-wide tools such as Spark, Hadoop, Amazon Web Services and Python/Scala APIs for them." (May 2019)