Big Data & Cloud Computing (Part 1)

Professors

• Eduardo Marques (Part 1, this page), gab. 1.72, edrdo _at_ dcc.fc.up.pt
• Inês Dutra (Part 2), gab. 1.31, ines _at_ dcc.fc.up.pt

Forums

• Announcements + Student questions → Moodle.

Aim of this course

[Detailed description at Sigarra]

This course provides an introduction the to the use of cloud computing for processing big data, concerning:

• Deployment of cloud-based infrastructures for big data applications.
• Programming big data applications using the cloud.
• Data mining fundaments for big data applications.
• Hands-on experience with state-of-the-art tools and real-world data sets.

Bibliography

• Cloud Computing for Science and Engineering (available free online), I. Foster and D. Gannon, MIT Press, 2017
• Python Data Science Handbook (available free online), Jake VanderPlas, O'Reilly, 2016
• Spark: The Definitive Guide - Big Data Processing Made Simple , M. Zaharia and B. Chambers, O'Reilly Media, 2018.
• Mining of Massive Data Sets, 2nd edition (available free online), J. Leskovec et al., Cambridge University Press, 2014.
• Hadoop: The Definitive Guide, 4th edition, T. White, O'Reilly Media, 2015.

Student evaluation

• Project assignments: 40 %
• Final exam: 60 %