I realised a few years ago that pretty much every database course taught only teaches OLTP. OLAP never really gets a lookin.

At my university, standard normalisation was taught in the "databases" course. OLAP was mentioned as part of the "advanced databases" course.

The database course at that time blew about half its time on building PHP applications to talk to the database. I hate to second guess my professors, but I can't help but feel that a more productive use of the time would have been to teach normalised OLTP in the first half, and dimensionally modelled OLAP in the second half. Better yet, to divide them into two courses and spend some time talking about database history ("here's why network and hierarchical databases sucked") and maybe some introduction to how query planners work.

Hi, I have started your project previously and while I haven't had a chance to test it out, I must say the idea of using cloud-front as a collector is a superb brilliant idea to scale an analytics platform and would be both very scalable, reliable and economical.

Btw, do you have more experience to share? e.g. with infobright, how many events can be processed per second? what would be the "ETL latency"? can infobright handle 10TB of data easily, any caveat besides the row limit? Thanks.