Why Daimler moved its big data platform to the cloud

TechCrunch | 2/20/2019 | Staff
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Like virtually every big enterprise company, a few years ago, the German auto giant Daimler decided to invest in its own on-premises data centers. And while those aren’t going away anytime soon, the company today announced that it has successfully moved its on-premises big data platform to Microsoft’s Azure cloud. This new platform, which the company calls eXtollo, is Daimler’s first major service to run outside of its own data centers, though it’ll probably not be the last.

As Daimler’s head of its corporate center of excellence for advanced analytics and big data Guido Vetter told me, that the company started getting interested in big data about five years ago. “We invested in technology — the classical way, on-premise — and got a couple of people on it. And we were investigating what we could do with data because data is transforming our whole business as well,” he said.

Size - Organization - Point - Structure - Company

By 2016, the size of the organization had grown to the point where a more formal structure was needed to enable the company to handle its data at a global scale. At the time, the buzzword was ‘data lakes’ and the company started building its own in order to build out its analytics capacities.

“Sooner or later, we hit the limits as it’s not our core business to run these big environments,” Vetter said. “Flexibility and scalability are what you need for AI and advanced analytics and our whole operations are not set up for that. Our backend operations are set up for keeping a plant running and keeping everything safe and secure.” But in this new world of enterprise IT, companies need to be able to be flexible and experiment — and, if necessary, throw out failed experiments quickly.

Year - Half - Vetter - Team - EXtollo

So about a year and a half ago, Vetter’s team started the eXtollo project to...
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