In this webcast you’ll see how Vertica enables you to store, manage, and analyze increasing volumes of geospatial data without moving the data. Badr Ouali, Vertica Lead Data Scientist, introduces the Vertica Geospatial Library and showcases how you can tap its advanced analytical functions to address your most complex geospatial analytical use cases – everything from improving risk analysis to enhancing transportation and logistics planning.
Phil Charles, Technical Manager for Jaguar Racing, offers a spirited endorsement of Vertica and the role of analytics in making constant improvements to their Formula E vehicle: “Optimally tuning the powertrain, suspension, steering, braking, and power management can only be done if we have timely, accurate, and complete data visibility, powerful analytics, and machine learning to analyse, predict, and act. Vertica can give us immediate access to more than half a billion data points, on which we run analytics and machine learning capabilities that enable us to glean impactful results.”
Vertica is Purpose Built for Time Series
Time series data, especially sensor data, means a lot of data. Auto manufacturers like Tesla (and the insurance companies who crave this data) will need to handle data from thousands of vehicles, which is not a problem for Vertica. It is built for performance at scale. This blog post “It’s Time for Time Series” offers food for thought.
Want to get technical? How Vertica analyzes vehicle telematics data
This demo offers an “under the hood” view of Vertica at work using data from onboard electronics to assess vehicle handling, which in turn helps assess insurance risk and premiums. The demo was built to show a relatively simple example of data collection, aggregation and preparation, and analysis of the available drivetrain parameters of the author’s 2014 Subaru Outback.
Ready to prepare for change?
Find out how Vertica can help automotive companies prepare, predict, and scale for the future.
Learn more about the Vertica Accelerator.