Turning petabytes of data from millions of vehicles into open data with Geotab
Who is this presentation for?
- Data scientists and data engineers
Geotab is a world-leading asset-tracking company with millions of vehicles under service every day. Felipe Hoffa and Bob Bradley examine the challenges and solutions to create an ML- and geographic information system- (GI)S enabled petabyte-scale data warehouse leveraging Google Cloud. And they dive into the process to publish open, how you can access it, and how cities are using it.
They explore the challenge, which was handling petabytes of IoT data from millions of vehicles around the world; the solution, BigQuery and other Google Cloud Platform tools; machine learning and geoanalysis at a petabyte scale; the process to share open data; how cities are using Geotab’s shared datasets; and how you can access Geotab’s open data too.
- General knowledge of SQL
What you'll learn
- Learn how to handle petabytes of IoT data, deliver ML and geoanalysis at this scale, and access and use the open datasets shared by Geotab
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 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 cofounder and vice president 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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