Sessions

Tentative themes for each session

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

Session 1 - Introduction to big data. Big-data processing. Spark

• Kitchin, chapters 1, 4-5
• Chambers & Zaharia, chapters 1-3, 12, 15

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)

Session 2 - More about Spark

• Chambers & Zaharia, chapters 4-9

Supplementary:

• Twitter API, tweepy

Session 3 - Streaming Spark. Kafka

• Chambers & Zaharia, chapters 20-21
• Kafka Introduction

Session 4 - Big data architecture. Cloud, NREC and Openstack

• NREC. OpenStack
• 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]

Supplementary:

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

Session 5 - Cloud management. Terraform and Ansible. Docker

• Terraform, Ansible
• Docker

Session 6 - Societal issues. Privacy. GDPR

• Kitchin, chapters 12-19
• What is GDPR, the EU’s new data protection law?