Architectures for big data

The course aims at describing the big data processing framework, both in terms of methodologies and technologies. Part of the lessons will focus on Apache Spark and distributed patterns.

Students will learn:

How to distribute computation over clusters using Map Reduce model
How to write Apache Spark code
How Hadoop works and why it works that way
What a software architecture is
How to design batch architectures to manage data workflows
Several design patterns that could be used in a distributed environment
The limit of traditional SQL with Big Data