Readings

Books

We will use two text books:

• Rob Kitchin. The Data Revolution - Big Data, Open Data, Data Infrastructures & Their Consequences. Sage, 2014.

 * At least chapters 1-5 and some later chapters are mandatory.

• Bill Chambers and Matei Zaharia: Spark: The Definitive Guide - Big Data Processing Made Simple. O'Reiley, 2018. [File:Spark-the-definitive-guide40www.bigdatabugs.com .pdf (PDF)]

 * At least chapters 1-9 and some later chapters are mandatory.

Technical introductions

Selected web pages will become available here, including:

• Spark Quick Start (with Python examples)
• OpenStack
• TerraForm
• Ansible
• Kafka Introduction

Additional non-mandatory materials will be made available to support the exercises.

Papers

Selected papers will become available here.

Mandatory:

• 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:

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

Lecture Slides

See the Session page for lecture slides.

Suitable readings

The Session page contains specific readings for each session.