I explained Smart transport data management pitfalls, then introduced Warp 10 as a storage backend for this kind of data, using HHCode examples.
A big thank you to the around 30 participants at the 2nd Smart Transport Tech-Meetup, hosted by Virtuo yesterday on October 24th, 2018, in Paris.
As an embedded systems engineer, I presented the Warp 10 time series open source platform, developed by the SenX team. After a quick review of the data related laws and regulation trends, I strongly encouraged the audience to keep their raw data, without any kind of early transformation their company may regret later.
Then I did a few WarpScript demos to explain how Warp 10 optimizes the geographic inclusion functions with Helical Hyperspatial Code (HHCode). Participants learned how they can do some geographic regular expressions.
If, as most transportation companies are, you're working with time series, you definitely should give Warp 10 a try.
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Geo Times Series are the main data model of Warp 10. It fits most of the needs for time series modeling, with optional location information.
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It is time go back to the basis. Extract data within a geographical area.
Electronics engineer, fond of computer science, embedded solution developer.