Semester 3

In this course, we put handling of big data in perspective. The course begins with an overview of big data as a phenomenon. The course then treats a number of big data technologies for data pipelining as well as data storage, ranging from data warehousing to data lakes and data lake houses.

At the end of this course, participants should be able to ...

1. explain what big data is and why a data scientist should be especially concerned about big data phenomenon.

2. implement one or more industry standard tools for data pipelining

3. implement one of more tools for data warehousing, data lake and/or data lake house.

4. implement one or more tools for big data query/analysis

5. implement one or more tools for scalable machine learning