Turning petabytes of data from millions of vehicles into open data with Geotab
Who is this presentation for?data scientists, data engineers
Geotab is a world’s leading asset tracking company, with millions of vehicles under service every day. In the first part of this talk we are going to review their challenges and solutions to create an ML and GIS enabled petabyte scale data warehouse leveraging Google Cloud. Then we are going to review their process to publish open, how to access it, and how cities are using it.
- The challenge: Handling petabytes of IoT data from millions of vehicles around the world.
- Creating a solution: BigQuery and other Google Cloud Platform tools.
- Added value: Machine learning and geo analysis at a petabyte scale.
- Sharing back: The process to share open data.
- Data in action: How cities are using Geotab’s shared datasets.
- Hand on: How you can access Geotab’s open data too
What you'll learn
Felipe Hoffa is a developer advocate for big data at Google, where he inspires developers around the world to leverage the Google Cloud Platform tools to analyze and understand their data in ways they could never before. You can find him in several videos, blog posts, and conferences around the world.
Bob Bradley is the data solutions manager at Geotab, a global leader in telematics providing open platform fleet management solutions to over 1.2 million connected vehicles worldwide. Bob leads a team that is responsible for developing data-driven solutions that leverage Geotab’s big data repository of over 3 billion records each day. Previously, Bob spent more than 14 years as the vice president and cofounder of a software development shop (acquired by Geotab in 2016), where he focused on delivering custom business intelligence solutions to companies across Canada.
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