Course Description

The goal of this course is to provide a comprehensive view on recent topics and trends in distributed systems and cloud computing. We will discuss the software techniques employed to construct and program reliable, highly-scalable systems. We will also cover architecture design of modern datacenters that constitute a central topic of the cloud computing paradigm. The course is complemented by a number of lab sessions to get hands-on experience with Apache Spark.

Prerequisites

Knowledge of data structures, algorithm design, distributed algorithms. Being fluent with Python (scala would be a big plus!) is highly desirable.

Recommended Books

• Learning Spark, by Holden Karau, Andy Konwinski, Patrick Wendell and Matei Zaharia, O'Reilly [O'Reilly Link]
• Data-intensive Text Processing with MapReduce, by Jimmy Lin and Chris Dyer [GitHub Link]
• Hadoop, The Definitive Guide, by Tom White [Amazon Link]
• Hadoop Operations,by Eric Sammer [Amazon Link]
• HBase, The Definitive Guide, by Lars George [Amazon Link]