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 - Big data architecture. News Angler/News Hunter. Kafka
• Thursday September 29th: Session 3 - Cloud. OpenStack
• Thursday October 13th: Session 4 - Virtual instances. Docker
• Thursday October 27th:Session 5 - Big data storage. Cassandra
• Thursday November 10th: Session 6 - 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, chapter 4-5
• 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 Quick Start (with Python examples)

Session 2 - Big data architecture. News Angler/News Hunter. Kafka

• Kitchin, chapter 1-3
• Opdahl, A. L., & Tessem, B. (2021). Ontologies for finding journalistic angles. Software and Systems Modeling, 20(1), 71-87. Paper
• 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

Session 3 - Cloud. OpenStack

• NREC. OpenStack. TerraForm. Ansible

Session 4 - Virtual instances. Docker

• TDB

Session 5 - Big data storage. Cassandra

• TDB

Session 6 - Privacy. GDPR

• TDB

Session 7 - Essay presentations

• TDB

Session 8 - Project demonstrations

• TDB