Readings: Difference between revisions

Revision as of 16:50, 4 September 2022

Text books:

Rob Kitchin. The Data Revolution - Big Data, Open Data, Data Infrastructures & Their Consequences. Sage, 2014.
- chapters 1, 3-5, 12-19 are mandatory (except that a few of the latest chapters are supplementary, perhaps 14, 18, and 19 - TBA)
Bill Chambers and Matei Zaharia: Spark: The Definitive Guide - Big Data Processing Made Simple. O'Riley, 2018. File:Spark-TheDefinitiveGuide.pdf
- chapters 1-9, 12, 15, 20-21 are mandatory (chapter 10 on SQL is also highly relevant)

Selected papers will become available here, including:

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 File:A1-Poster-NIKT2021.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. Book chapter
Opdahl, A. L., & Tessem, B. (2021). Ontologies for finding journalistic angles. Software and Systems Modeling, 20(1), 71-87. Paper
Berven, A., Christensen, O. A., Moldeklev, S., Opdahl, A. L., & Villanger, K. J. (2020). A knowledge-graph platform for newsrooms. Computers in Industry, 123, 103321. Paper

Selected web pages will become available here, including:

Spark 3.3.0 Overview and Quick Start (with Python examples)
Twitter API v2
Tweepy: Twitter for Python
Tweepy Documentation
NREC and OpenStack, the following sections/pages: Introduction, Project application, Logging in, The dashboard, Create a Linux virtual machine (skip: Windows), Using SSH, Working with Security Groups, Create and manage volumes, Create and manage snapshots (skip: images), Instance console
TerraForm and NREC part I, part II, and part III
How Ansible Works and the Ansible Community portal
Kafka Introduction

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

See the Session page for lecture slides after each session.

The Sessions page will suggest specific readings for each session and its associated exercise.

@@ Line 1: / Line 1: @@
 == Books ==
-We will use two text books:
+Text books:
 * Rob Kitchin. ''The Data Revolution - Big Data, Open Data, Data Infrastructures & Their Consequences''. Sage, 2014.
-** At least chapters 1, 3-5 and some later chapters are mandatory.
+** chapters 1, 3-5, 12-19 are mandatory ''(except that a few of the latest chapters are supplementary, perhaps 14, 18, and 19 - TBA)''
 * Bill Chambers and Matei Zaharia: ''Spark: The Definitive Guide - Big Data Processing Made Simple''. O'Riley, 2018. [[File:Spark-TheDefinitiveGuide.pdf]]
-** At least chapters 1-9 and some later chapters are mandatory.
+** chapters 1-9, 12, 15, 20-21 are mandatory (chapter 10 on SQL is also highly relevant)
-<!--  * preliminary chapter list: Part I - chapters 1-3, Part II - chapters 4-9, Part III - chapter 12, Part IV - chapter 15, Part V - chapters 20-21, Part VI - chapter 24 (ca 260 pages). -->
-<!-- GDPR -->
 == Papers ==