Sessions

Tentative themes for each session

Thursday August 18th: Introduction meeting File:IntroductionMeeting.pdf
Thursday September 1st: Session 1 - Introduction to big data. Big-data processing. Spark
Thursday September 15th: Session 2 - More about Spark. Data sources. Twitter's API and tweepy
Thursday September 29th: Session 3 - Streaming Spark. Big data architecture. Kafka
Thursday October 13th: Session 4 - Cloud computing. NREC and Openstack
Thursday October 27th: Session 5 - Cloud management. Terraform and Ansible. Docker and Kubernetes
Thursday November 10th: Session 6 - Societal issues. Privacy. GDPR
Thursday November 24th: Session 7 - Essay presentations
Thursday December 8th: Session 8 - Project demonstrations

Supplementary:

Section 1 in Opdahl, A. L., & Nunavath, V. (2020). Big Data. Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, 15-29. Paper
Spark 3.3.0 Overview and Quick Start (with Python examples)

Guest presentation: Daniel Rosnes on using Twitter data for the news

Supplementary:

Chambers & Zaharia, chapters 20-21
Paper on big-data architecture (TBA)
Gallofré, M., Opdahl, A. L., Stoppel, S., Tessem, B., & Veres, C. (2021). The News Angler Project: Exploring the Next Generation of Journalistic Knowledge Platforms. In Proceedings of Norsk IKT-konferanse for forskning og utdanning. Short Paper [Poster]
Kafka Introduction

Guest presentation: Marc Gallofré Ocaña on the News Hunter platform and its big-data ready architecture

Supplementary:

Berven at al. ...
Opdahl, A. L., & Tessem, B. (2021). Ontologies for finding journalistic angles. Software and Systems Modeling, 20(1), 71-87. Paper

Guest presentation: Sohail Khan on computer vision and deep networks for image analysis

Kitchin, chapters 12-19 (only a few of them are mandatory, perhaps 12-13 and 17)
What is GDPR, the EU’s new data protection law?

Guest presentation: Laurence Dierickx on aspects of big-data quality

Supplementary: