This course is from a past or future semester. If you are looking for current courses, go to the course overview.

Big Data

Summer Terms 2019

Introduction

This course will cover a variety of topics relating to managing Big Data, underlying algorithms and practices, as well as methods for analysis.

Prerequisite

Students are expected to have background knowledge on (i) data bases, (ii) data analysis, e.g. data science or machine learning, and (iii) must know how to program. Students without programming experience are not welcome.

Lecture

The lectures will be held by Prof. Steffen Staab

You find the lecture recordings at Videoakademie.

KLIPS entry: https://klips.uni-koblenz-landau.de/v/112828

Exercise

Students will deepen their understanding of this course during the practical programming exercises.
The source code of the tutorials as well as the example datasets can be found in the SVN.
Please register until 2019-04-21 as member of a group in Teams!.

Time and Location

Tuesday	14:00 ～ 16:00	weekly	09.04.2019 to 15.07.2019	G 310
Friday	12:00 ～ 14:00	weekly	12.04.2019 to 19.07.2019	H 009

Literature

Jure Leskovec, Anand Rajaraman, JeffreyD. Ullman. Mining Massive Data Sets http://mmds.org/
Bill Chambers & Matei Zaharia. Spark. The Definitive Guide. O'Reilly 2018. Additional material/code: https://github.com/databricks/Spark-The-Definitive-Guide/
Pramod J. Sadalage & Martin Fowler. NoSQL Distilled. A Brief Guide to the Emerging World of Polyglot Persistence
Dmitriy Lyubimov & Andrew Palumbo. ApacheMahout: BeyondMapReduce. Distributed Algorithm Design. 2016

Exam

Announced in Klips.
Date: Friday, July 26, 2019, 12.00-14.00hrs
Location: M001

Second exam will happen October 15, 2019, 10.00-12.00hrs. Registration end is Friday, October 10, 2019.

Schedule

When	What	Who	Slides	Assignment	Tutorial
April 9 - Tue	Lecture	Steffen	0-introduction.pptx 0-introduction.pdf
April 12 - Fr	Tutorial	Daniel	slides
April 16 - Mo	Lecture	Steffen	1-cloudcomputing.pptx 1-cloudcomputing.pdf
April 19 - Fr	No lecture / tutorial - public holiday
April 23 - Tue	No lecture
April 26 - Fr	Tutorial	Daniel	slides
April 30 - Tue	Lecture	Steffen	2-spark-intro.pptx 2-spark-intro.pdf (updated May 7, 2019)
May 3 - Fr	Tutorial	Daniel	slides
May 7 - Tue	Lecture	Steffen	3-OLAP.pptx 3-OLAP.pdf
May 10 - Fr	Tutorial	Daniel	slides
May 14 - Tue	Lecture	Steffen	3-OLAP.pptx (updated May 20, 2019) 3-OLAP.pdf (updated May 20, 2019)
May 17 - Fr	Tutorial	Daniel	slides
May 21 - Tue	Lecture	Steffen	4-Joins+More.pptx 4-Joins+More.pdf
May 24 - Fr	Tutorial	Daniel	slides
May 28 - Tue	Lecture	Claudia	4-Joins+More.pptx 4-Joins+More.pdf 5-NoSQL.pptx 5-NoSQL.pdf
May 31 - Fr	Tutorial	Daniel	slides
June 4 - Tue	Lecture	Claudia
June 7 - Fr	Tutorial	Daniel	slides
June 11 - Mo	No lecture / tutorial - public holiday
June 15 - Fr	No lecture / tutorial - public holiday
June 18 - Tue	Lecture	Steffen	6-Distribution+Consistency.pptx 6-Distribution+Consistency.pdf
June 21 - Fr	Tutorial	Daniel	slides
June 25 - Tue	Lecture	Steffen	7-ScalableAnalysis-AlgebraicModeling.pptx (updated June 28, 2019) 7-ScalableAnalysis-AlgebraicModeling.pdf (updated June 28, 2019)
June 28 - Fr	Tutorial	Daniel	slides
July 2 - Tue	Lecture	Claudia	8-AdvancedAnalytic-and-ML-spark.pptx 8-AdvancedAnalytic-and-ML-spark.pdf
July 5 - Fr	Tutorial	Daniel	slides
July 9 - Tue	Lecture	Steffen	9-streaming.pptx 9-streaming.pdf
July 12 - Fr	Tutorial	Daniel	slides
July 16 - Tue	Q&A	Steffen
July 19 - Fr	Q&A	Daniel	slides