The General System data infrastructure platform is purpose-built for fast and effective analysis of spatiotemporal (location and time) data created by phones, sensors, IoT, vehicles and other moving devices. Data teams can now ingest, index and analyse hyper scale workloads in real time and gather insights for critical decision making in seconds instead of hours and days.
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Welcome to our new series of: Tech Diaries. Join me (Ryan P.) in this virtual conversation as I catch up with some of the team at General System, exploring a typical day in their professional lives.This week, I sat down with Joshua Bramall who leads up our Data Science team.
Welcome to our new series of: Tech Diaries. Join me (Ryan P.) in this virtual conversation as I catch up with some of the team at General System, exploring a typical day in their professional lives.This week, I sat down with Joshua Bramall who leads up our Data Science team.
Seb's query is looking for an ID amongst 24,982 records in a dataset of over 10 billion rows. At a query time of just 1.3 seconds, the GS platform is ideal for organizations that need fast or automated querying of hyper scale GPS data. #wouldhavetakenhours : ) #Bigdata #spatiotemporal #GIS #datascience
Great presentation by Robert Edwards on an approach to the challenges of generating billions of synthetic data records. #syntheticdata #bigdata #datascience #GIS
Yesterday I gave a short presentation at the GeoMob London meetup on an internal tool we use at General System to generate synthetic spatiotemporal data for testing our platform. Synthesizing spatiotemporal data has some particular difficulties around sensitivity and spatial (pun intended) awareness. I showed one approach to tackling these difficulties while remaining performant. It takes a lot of data to put a big data platform through it's paces! It was great to meet some of the wider geospatial community in London. Thanks to Ed Freyfogle for hosting! #spatiotemporal #bigdata #geomob #sheep
Great work by our tech team launching the developers portal https://lnkd.in/e_RjQTJZ Documentation, tutorials, coding examples and tips! #generalsystem #developers #python #datascience #spatiotemporal #geospatial
Data scientists and analysts in retail, media, transport and city planning that study movement patterns can find out more about how to identify walking routes, dwells and co-location in this excellent blog by Sebastiano F. https://lnkd.in/euv2JnuE #datascience #dataanalysis #bigdata #retailanalytics #mediaanalytics #cityplanning #transportplanning #spatiotemporal