About

This course introduces Big Data challenges & modern data platforms for processing data at scale using cluster- and cloud-based architectures.

At the end of this course, the students will be capable of:

• Define and illustrate with concrete examples the characteristics of Big Data.
• Understand and configure the main components of a Modern Data architecture
• Analyse large and heterogeneous datasets (structured, non-structured) on batch.

Prerequisites

Students are expected to be familiar with the following topics:

• Relational DBMS
• Distributed systems

Syllabus

Labs

<aside> 💡

Read the AWS academy learner lab guide before using a lab for the first time.

</aside>

• AWS Academy Learner Lab [196090]
• AWS Academy Data Engineering [189739]

Resources

• Big Data for Engineers, ETH Zurich (videos, slides, textbook)