Distributed Data Management Lecture Done

Just had the final lecture of this term in Kaiserslautern in the Distributed Data Mangement Lecture. The two lectures on data stream managment (STREAM and the novel distributed system Storm) and the final lecture on Distributed Top-k Query Processing concluded the 11 lectures.

The slides and summary you can find here:
http://qid3.mmci.uni-saarland.de/teaching/ss13/ddm/
which also includes a link to the original lecture website.

Comments on the content and slides are very welcome; don't hesistate to send me an email.

A random sample of the content is here in form of slide screenshots:

Proofreading

Can't resist posting this youtube video on the the impotence importance of proofreading. This is truly hilarious. Seen it already some time ago, but I regularly catch catch myself (and others) doing the same mistakes again and again. And, have currently the pleasure to roof reading a PhD thesis these days ...

Preparing Slides on NoSQL Consistency Models

Preparing slides for the next lecture on distributed data management. In this lecture we mainly focus on handling big data. The first 3 lectures were about big data in general and MapReduce. Just had one lecture introducing NoSQL and now going into consistency models of NoSQL stores, vector clocks, etc.

Grateful to a colleague pointing to the introduction to consistency models in NoSQL key/value stores
by Doug Terry (Microsoft), I am sure students will appreciate:

http://research.microsoft.com/pubs/157411/ConsistencyAndBaseballReport.pdf


The website of the lecture is
http://wwwlgis.informatik.uni-kl.de/cms/courses/distributeddatamanagement/

If you are intersted in the ppt slides, let me know.

More about myself and the work of our research group at Saarland University, Germany, you can get here:

http://qid3.mmci.uni-saarland.de/