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Database Driven
Location Intelligence:
The Missing Dimension
Javier de la TorreFounder & CEO, CARTO
PREDICT THROUGH LOCATION
PREDICT THROUGH LOCATIONGEOSPATIAL DATABASE ON THE CLOUD
As of last thursday...
CARTO is an open, powerful, and intuitive
platform for discovering and predicting the key
insights underlying the location data in our
world.
(Michael
most likely walking paths of 114,000 people walking to the L train
Sources:
Census data - ACS
Commuting - LODES
Routing - OSM
Affected populations by the closing of the L train
Clustering block data to determine poverty status
Uber & Lyft are going to have a great ride in Williamsburg and Greenpoint
What are the alternatives?
Considering the shuttle would take 20min?
Take a bus shuttle
Use the M line
Use the A line
If the bus shuttle takes more than 20min people will use other routes
But 75,000 riders could still need shuttles
If shuttle takes more than 28min. we might need another bridge
53,000 riders will still need to take them. That is 816 buses per day
or a full bus every minute and a half.
WHERE to inform citizens
WHERE to add extra service
WHERE Uber can do marketing
WHERE companies will be most affected
WHERE
WHERE
WHERE
Everything happens somewhere
Relating things based on where
they happen
No need for Foreign Keys!
AND WHERE ARE WE GOING...
OR MORE SPECIFIC WHERE WE BELIEVE IT NEEDS TO BE GOING
Telecoms | Banks | Mobile apps | Utilities | Cars | IoT | Earth Observation | Health
Major industries generating huge
streams of location data
Telemetry
Credit card transactions
Logs
Measurements
GPS Logs
LiDAR
Feature changes
….
GeoJINNI GeoTrellis
Open Source is moving...
HIGH
PERFORMANCE
ANALYTICS
PostGIS built on Spark
ETHNIC DIVERSITY OF THE US SHOWING ONE POINT FOR
EVERY 100 PEOPLE OF A GIVEN ETHNICITY
Javier de la Torre
@jatorre
Founder & CEO, CARTO
PREDICT THROUGH LOCATION
Thanks!
We are hiring!

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Database Driven Location Intelligence

  • 1. Database Driven Location Intelligence: The Missing Dimension Javier de la TorreFounder & CEO, CARTO PREDICT THROUGH LOCATION
  • 2. PREDICT THROUGH LOCATIONGEOSPATIAL DATABASE ON THE CLOUD As of last thursday... CARTO is an open, powerful, and intuitive platform for discovering and predicting the key insights underlying the location data in our world.
  • 4.
  • 5. most likely walking paths of 114,000 people walking to the L train Sources: Census data - ACS Commuting - LODES Routing - OSM
  • 6. Affected populations by the closing of the L train
  • 7. Clustering block data to determine poverty status
  • 8. Uber & Lyft are going to have a great ride in Williamsburg and Greenpoint
  • 9. What are the alternatives? Considering the shuttle would take 20min? Take a bus shuttle Use the M line Use the A line
  • 10. If the bus shuttle takes more than 20min people will use other routes But 75,000 riders could still need shuttles If shuttle takes more than 28min. we might need another bridge 53,000 riders will still need to take them. That is 816 buses per day or a full bus every minute and a half.
  • 11. WHERE to inform citizens WHERE to add extra service WHERE Uber can do marketing WHERE companies will be most affected WHERE WHERE WHERE
  • 12.
  • 13.
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  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 21. Relating things based on where they happen No need for Foreign Keys!
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28. AND WHERE ARE WE GOING... OR MORE SPECIFIC WHERE WE BELIEVE IT NEEDS TO BE GOING
  • 29.
  • 30. Telecoms | Banks | Mobile apps | Utilities | Cars | IoT | Earth Observation | Health Major industries generating huge streams of location data Telemetry Credit card transactions Logs Measurements GPS Logs LiDAR Feature changes ….
  • 32. HIGH PERFORMANCE ANALYTICS PostGIS built on Spark ETHNIC DIVERSITY OF THE US SHOWING ONE POINT FOR EVERY 100 PEOPLE OF A GIVEN ETHNICITY
  • 33. Javier de la Torre @jatorre Founder & CEO, CARTO PREDICT THROUGH LOCATION Thanks! We are hiring!