Date(s) - 24/04/2015
12:30 pm - 3:00 pm
Daisy and Uber event: Scalable Services for Big Transport Data
The Center for Data-intensive Systems (Daisy) is happy to announce a joint event with Uber, whose mobile transportation service is changing person transport globally.
Title: Scalable Services for Big Transport Data
Place: Cassiopeia, 0.1.95 (the auditorium)
Time: Friday, April 24, 12.30-15.00
Steffen Grarup from Uber Technologies’ Danish office will talk about how it is to work for a US internet company, developing software that runs 24/7, where updates are deployed many times a day, where the time from idea to production is counted in hours, not months, and where systems are built to be self-healing, scalable, and run over multiple data centers. He will also talk about how Uber handles Big Data, including Big Spatio-Temporal Data such as GPS positions.
Christian S. Jensen from Daisy will talk about “A to B Reloaded”, Kristian Torp from Daisy will talk about “Very Large GPS Data Sets for Traffic Analysis”, and
Gyozo Gidofalvi from KTH and Torben Bach Pedersen from Daisy will talk about “Scalable Trip Grouping and Social Ride-Sharing”.
If you are interested in Big Data and global-scale internet services, please show up!