Distributed Big Data For AI

This lecture aims at introducing some concepts around distributed data management: replicated data consistency, distributed file systems, map-reduce, etc. The lecture will provide also a concrete experience with labs oriented as a project.

Tentative syllabus

• Topic 1: Introduction to parallelism
• Topic 2 : Storing Big Data

• Topic 3: Processing Big Data

• Lab 1 : Introduction to Apache Spark
• Lab 2 : Machine Learning with Spark
• Lab 3 : Kafka and Spark streaming.