Foundations in Data Engineering

Prof. Dr. Thomas Neumann

Timo Kersten, M.Sc.

Content:

Dates

• Lecture: Tuesdays, 4 - 6 p.m. in Interims HS 2
  Thursdays, 4 - 6 p.m. in Physik HS 2
  Start: October 18, 2016
• Excercise: Wednesday, 8-10 a.m. in MI HS 2
  Start: October 26, 2016

Slides:

• Introduction
• Basic Building Blocks
• Advanced SQL
• Distributed Data Processing
• No-SQL Databases
• Other Data Models
• RDF Query Optimization

Exercise sessions:

Please find all exercise sheets, discussion and further material on the moodle page.

• Sheet 01: Data sets: mails_match.txt, mails_dont_match.txt
  
• Sheet 02: Data sets: gmane.linux.kernel.xz, customer.tbl.xz lineitem.tbl.xz nation.tbl.xz orders.tbl.xz partsupp.tbl.xz part.tbl.xz region.tbl.xz supplier.tbl.xz

Literature:

• Anand Rajaraman, Jeffrey David Ullman Mining of Massive DatasetsCambridge University Press B31
• Maurice Herlihy, Nir Shavit The Art of Multiprocessor Programming Morgan Kaufmann, 2012.
• Garcia-Molina, Ullman, Widom Database Systems: The Complete Book Prentice Hall, 2000.
• Alfons Kemper, André Eickler Datenbanksysteme. Eine Einführung 10., aktualisierte und erweiterte Auflage, Oldenbourg Verlag, 2015.