February 2020
Beginner to intermediate
38m
English
conference
Turning petabytes of data from millions of vehicles into open data with Geotab
by Felipe Hoffa, Bob Bradley
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
Geotab is a world-leading asset-tracking company with millions of vehicles under service every day. Felipe Hoffa (Google) and Bob Bradley (Geotab) 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.
Prerequisite knowledge
- 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
This session is from the 2019 O'Reilly Strata Conference in New York, NY.
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