100 billion Points Every Day
100 billion is a very large number, let's say that I gave you a spreadsheet with 100 billion rows in it, each row consisted of five columns Latitude, Longitude, Device ID, A Timestamp, and a column telling the name of the data provider
What would you do with that? 
How would you clean it? Make sense of it? Extract value from it? What would people use it for? And how would you do this in a way that could be systematized?
FourSquare does this every day with the help of something they call a movement engine.
To help understand more about how they do this I have invited Gabriel Durkin the director of data science on the podcast. This is the last in a series of episodes I have worked on together with FourSquare and I have to say it's been really enjoyable working with them. 
If you are interested in hearing some of the previous episodes just check out the links below!
 
From Pixels To Patterns AI In Spatial Analysis
https://mapscaping.com/podcast/from-pixels-to-patterns-ai-in-spatial-analysis/
Big Data In The Browser
https://mapscaping.com/podcast/big-data-in-the-browser/
Spatial Knowledge Graphs
https://mapscaping.com/podcast/spatial-knowledge-graphs/
Designing For Location Privacy
https://mapscaping.com/podcast/designing-for-location-privacy/
All Of The Places In The World
https://mapscaping.com/podcast/all-of-the-places-in-the-world/



Geospatial Jobs
 
There are a few new jobs on our Job Board! The most interesting one is the role of Social Media Manager at Felt - United States (Remote) 
( If you want to apply for this one, it might be a good idea to listen to this episode first ;) 
https://mapscaping.com/podcast/felt-upload-anything/ )
See more at https://mapscaping.com/jobs/
 
As a bonus for reading all the way to the end :) 
 
If you are looking for free terrain data for anywhere in the world you might find this useful 
https://github.com/openterrain/openterrain/wiki/Terrain-Data