Big Data computing technologies, BSC

Module supervisors

• Stéphane Derrode & Lamia Derrode, Centrale Lyon, Mathematics and Computer Sciences Dpt

Table of Contents

• General information
• Organization of the module
• Course schedule
  • Chapter 1. Big Data Technologies
  • Chapter 2. NoSql with MongoDB
  • Chapter 3. Cloud computing and AWS certifications

This web page contains all the resources (courses and practical work) for the Big Data Computing Technology module, taught as part of the Bachelor of Science in Data Science for Responsible Business during semester 4.

All practical work and project reports will be submitted according to the instructions set by the teacher.

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General information

Time spreading: 53 hours

Prerequisites	Description
Python Programming	Knowledge of programming with Python and object-oriented programming
SQL Experience	Proficiency in databases and SQL queries
Use of Terminal	Familiarity with command line usage (Windows PowerShell or Terminal)

Organization of the module

The module is divided into three chapters:

• Chapter 1. Big Data Technologies (25h)
  • Lecturers: Lamia Derrode & Stéphane Derrode (Centrale Lyon)
  • Assessment: Lab report (20% of the final grade) + LOD project (40% of the final grade: 20% for the report and 20% for the defense).
• Chapter 2. NoSql with MongoDB (8h)
  • Lecturer: Elöd Egyed-Zsigmond (INSA Lyon)
  • Assessment: Lab report (20% of the final grade).
• Chapter 3. Cloud computing and AWS certifications (20h)
  • Lecturer: Yann Fornier (guest speaker)
  • Assessment: AWS certifications

The 1h mid-term exam (scheduled at week #9) accounts for 20% of the final grade. The exam will cover LoD and Hadoop chapters.

Course schedule

Week 2026	Chapter #1	Chapter #2	Chapter #3
#4	4h
#5	4h
#6	4h
#7	2h
#9	1h midterm exam
#10	4h
#11	4h
#12	restitution 2h, 2 groups in parallel
#13		8h
#15			20h
Total	25h	8h	20h

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Chapter 1. Big Data Technologies

• Lecturers Lamia Derrode & Stéphane Derrode (Centrale Lyon).

• Time allocation 25h, including 1h for mid-term exam and 2h for project restitution.

• Type of teaching in-person.

• Organisation

  • Part 1. Linked Open Data (LOD) technology and project.
  • Part 2. Hadoop framework.

• Assessment

  • Lab report (Part2): 20% of the final grade.
  • LOD project (Part 1): 40% of the final grade - 20% for the report and 20% for the project defense during restitution. Detail of this project can be found here. An example of what is expected can be downoaded here.
  • 1 hour mid-term exam (Chapter 1) will account for 20% of the final grade.

• Detailled content here

Chapter 2. NoSql with MongoDB

• Lecturer Elöd Egyed-Zsigmond (INSA Lyon).

• Time allocation 8h.

• Type of teaching in-person.

• Assessment

  • Lab report: 20% of the final grade.

• Course material here

Chapter 3. Cloud computing and AWS certifications

• Lecturer Yann Fornier (guest lecturer).

• Learning objectives To assist in obtaining AWS certifications.

• Time allocations 20h.

• Type of teaching in-person.

• Assessment

  • AWS Cloud Practitioner & AWS AI Practitioner certifications.