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Large-scale Data Systems

Fall 2021



Prof. Gilles Louppe
[email protected]


Us

This course is given by:

Feel free to contact any of us for help!


.center[ .circle.width-25[![](figures/outline/gilles.jpg)]   .circle.width-25[![](figures/outline/sami.jpeg)] ]

Goals and philosophy

Solid ground

  • Understand the foundational principles of distributed systems, on top of which distributed databases and computing systems are operating.
  • Understand why data systems are designed the way they are designed.

Practical

  • Fun and challenging course project.
  • Practice and improve your system engineering skills!

Critical thinking

  • Assess the benefits and disadvantages of data systems.
  • No hype!

Slides

Slides are available at github.com/glouppe/info8002-large-scale-data-systems.

  • In HTML and in PDFs.
  • Published/Updated the day before the lesson.
  • Slight differences/improvements/fixes from previous years.

Slides are partially adapted from CSE 486/585 Distributed systems (University at Buffalo) and CS425 Distributed systems (University of Illinois UC).

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Videos

Podcasts from Fall 2020 are available on MyULiège.


Textbook

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The core content of this course (lectures 2 to 5) is based on the following textbook:

.italic[Christian Cachin, Rachid Guerraoui, Luis Rodrigues, "Introduction to Reliable and Secure Distributed Programming", Springer.]

This textbook is optional.

Projects

Reading assignment

Read, summarize and criticize a major scientific paper in large-scale data systems. (See GitHub for papers and instructions.)

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Programming project

Implement a distributed application. (Project to be announced later.)

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Evaluation

  • Oral exam (50%)
  • Reading assignment (10%)
  • Programming project (40%)

Projects are mandatory for presenting the exam.

???

Say some brief comment on the organization of the oral.


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Let's start!