Sessions: Difference between revisions
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* Thursday August 18th: Introduction meeting [[File:IntroductionMeeting.pdf]] | * Thursday August 18th: Introduction meeting [[File:IntroductionMeeting.pdf]] | ||
* Thursday September 1st: Session 1 - Introduction to big data. Big-data processing. Spark | * Thursday September 1st: Session 1 - Introduction to big data. Big-data processing. Spark | ||
* Thursday September 15th: Session 2 - More about Spark | * Thursday September 15th: Session 2 - More about Spark. Twitter's API and tweepy | ||
* Thursday September 29th: Session 3 - Streaming Spark. Kafka | * Thursday September 29th: Session 3 - Streaming Spark. Big data architecture. Kafka | ||
* Thursday October 13th: Session 4 - | * Thursday October 13th: Session 4 - Cloud, NREC and Openstack | ||
* Thursday October 27th: Session 5 - Cloud management. Terraform and Ansible. Docker | * Thursday October 27th: Session 5 - Cloud management. Terraform and Ansible. Docker | ||
* Thursday November 10th: Session 6 - Societal issues. Privacy. GDPR | * Thursday November 10th: Session 6 - Societal issues. Privacy. GDPR | ||
Revision as of 09:23, 3 September 2022
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. Twitter's API and tweepy
- Thursday September 29th: Session 3 - Streaming Spark. Big data architecture. Kafka
- Thursday October 13th: Session 4 - 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
- Slides: File:S01-BigData-published.pdf File:S01-Spark-published.pdf
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?