Portable In-Browser Data Cube Exploration

author: Kareem El Gebaly, David R. Cheriton School of Computer Science, University of Waterloo
published: Dec. 1, 2017,   recorded: August 2017,   views: 689

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


Data cubes, which summarize data across multiple dimensions, have been a staple of On Line Analytical Processing (OLAP) for well over a decade. While users typically access data cubes through data warehouse systems or business intelligence tools, we demonstrate that data cubes can be explored effectively and efficiently inside a browser. We provide an overview of the two recent technologies that enable our portable data cube exploration approach: 1) Afterburner, an in-browser relational database management system, and 2) explanation tables, an information-theoretic technique for guided data cube exploration.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: