Getting started with RumbleDB
I will give a smooth introduction to how to get started with RumbleDB: local installation, write hello worlds queries, download and query a small dataset, then a larger one, then how to do relational algebra, and if time permits user-defined types, conversion to binary formats for better performance, and machine learning.
Ghislain Fourny is a senior scientist at ETH Zurich with a focus on databases and game theory. He holds a Master of Science in Computer Science and a Doctorate of Science from ETH Zürich. Ghislain teaches Big Data courses for computer scientists as well as non-computer scientists and is making his textbook publicly available online. His research interests cover query languages for large-scale, heterogeneous, nested datasets, as well as rebooting game theory with a non-Nashian form of free choice. Ghislain was a member of the W3C XML Query working group from 2011 to 2014 and is a co-designer of the JSONiq query language and of the RumbleDB engine.