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== Tentative themes for each session ==
== Tentative themes for each session ==
* Thursday August 18th: Introduction meeting
* Thursday August 18th: Introduction meeting
* 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 - Big data architecture. News Angler/News Hunter. Kafka
* Thursday September 15th: Session 2 - More about Spark
* Thursday September 29th: Session 3 - Cloud. OpenStack
* Thursday September 29th: Session 3 - Streaming Spark. Kafka
* Thursday October 13th: Session 4 - Virtual instances. Docker
* Thursday October 13th: Session 4 - Big data architecture. Cloud, NREC and Openstack
* Thursday October 27th:Session 5 - Big data storage. Cassandra
* Thursday October 27th:Session 5 - Cloud management. Terraform and Ansible. Docker
* Thursday November 10th: Session 6 - Privacy. GDPR
* Thursday November 10th: Session 6 - Societal issues. Privacy. GDPR
* Thursday November 24th: Session 7 - Essay presentations
* Thursday November 24th: Session 7 - Essay presentations
* Thursday December 8th: Session 8 - Project demonstrations
* Thursday December 8th: Session 8 - Project demonstrations


== Session 1 - Introduction to big data. Big-data processing. Spark ==
== Session 1 - Introduction to big data. Big-data processing. Spark ==
* Kitchin, chapter 4-5
* 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. [https://link.springer.com/chapter/10.1007/978-3-030-48099-8_2 Paper]
* 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. [https://link.springer.com/chapter/10.1007/978-3-030-48099-8_2 Paper]
* [https://spark.apache.org/docs/latest/quick-start.html Spark Quick Start (with Python examples)]
* Spark 3.3.0  [[https://spark.apache.org/docs/latest/overview.html Overview] and [https://spark.apache.org/docs/latest/quick-start.html Quick Start (with Python examples)]


== Session 2 - Big data architecture. News Angler/News Hunter. Kafka ==
== Session 2 - More about Spark ==
* Kitchin, chapter 1-3
* Chambers & Zaharia, chapters 4-9
* Opdahl, A. L., & Tessem, B. (2021). Ontologies for finding journalistic angles. Software and Systems Modeling, 20(1), 71-87. [https://link.springer.com/article/10.1007/s10270-020-00801-w 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. [https://ojs.bibsys.no/index.php/NIK/article/view/939/792 Short Paper] [Poster]
* [https://kafka.apache.org/intro Kafka Introduction]
* [https://kafka.apache.org/intro Kafka Introduction]


== Session 3 - Cloud. OpenStack ==
== Session 3 - Streaming Spark. Kafka ==
* NREC. OpenStack. TerraForm. Ansible
* Chambers & Zaharia, chapters 20-21
* Introduction to Kafka


== Session 4 - Virtual instances. Docker ==
== Session 4 - Big data architecture. Cloud, NREC and Openstack ==
* TDB
* 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. [https://ojs.bibsys.no/index.php/NIK/article/view/939/792 Short Paper] [Poster]
 
Supplementary:
* Opdahl, A. L., & Tessem, B. (2021). Ontologies for finding journalistic angles. Software and Systems Modeling, 20(1), 71-87. [https://link.springer.com/article/10.1007/s10270-020-00801-w Paper]


== Session 5 - Big data storage. Cassandra ==
== Session 5 - Cloud management. Terraform and Ansible. Docker ==
* TDB
* Terraform, Ansible
* Docker


== Session 6 - Privacy. GDPR ==
== Session 6 - Societal issues. Privacy. GDPR ==
* TDB
* Kitchin, chapters 12-19
* EU's GDPR


== Session 7 - Essay presentations ==
== Session 7 - Essay presentations ==
* TDB


== Session 8 - Project demonstrations ==
== Session 8 - Project demonstrations ==
* TDB

Revision as of 16:34, 16 August 2022

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:

Session 2 - More about Spark

Session 3 - Streaming Spark. Kafka

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

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
  • EU's GDPR

Session 7 - Essay presentations

Session 8 - Project demonstrations