Name: How to un-mess big data processing in industrial environments [RoboticsX]
Start: 2019-02-20T18:30:00+01:00
End: 2019-02-20T20:00:00+01:00
Location: Faculty of Computer and Information Science

Abstract:
Changing digital factory architecture from request-response cluttered model of databases, microservices, data-pumping, querying large datasets … to an event driven architecture with real-time big data processing to have context depending outcomes and production status insights.

Bio:
Aleš Perme is gifted in making any high demand system to operate flawlessly. He is transferring his Web gained wisdom to industrial operating technologies.

Jurij Bajželj

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How to un-mess big data processing in industrial environments [RoboticsX]

Faculty of Computer and Information Science

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How to un-mess big data processing in industrial environments [RoboticsX]

Čez glavo v #vblatu

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