Since the 1700’s people have been studying insects and in the past decade, more research has been popping up on how insects are used in data science applications – and frankly, it’s pretty cool. From creating an alternative food source to city planning,insects and data go hand in hand in

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Recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data. Leveraging these advances, new technologies now support SQL on Hadoop, making in-cluster analytics of data in Hadoop a reality. This

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Continuing our ambitious European journey to spread our Big Data knowledge, we stopped for the fifth time in Munich, where on the 7th of April we hosted another great event for our Bavarian community. This time, the event took place at Wayra Deutschland, a startup accelerator owned by Telefonica, who

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Start-up admiration and entrepreneurship are alive and well outside of Silicon Valley. Check out Berlin, London or Amsterdam and you’ll be met with a striking number of founders, start-up hoppers, and entrepreneurs. Silicon Valley does reign supreme, but the tides are continuing to turn outside of the California-bubble. In fact,

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‘Disruption’ is a pretty well-worn term these days, mentioned at least three times in the first five sentences of any tech blog and thrown around liberally at any good Silicon Valley hackathon. Up until relatively recently, the efforts of data-led disruption were directed squarely at consumers and changing the way

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Wladimir Huber (29) worked several years as a professional trader in a German investment bank, founded an eCommerce startup and holds a M.A. in Finance from Leuphana University. Since he graduated from the university, he constantly developed internet business models. He especially enjoys the data-driven and analytical approach to business.

The post “Perhaps by the end of 2021, FinTech will no longer be a buzzword at all…” – Interview with SwipeStox’s Wladimir Huber appeared first on Dataconomy.