ODSC Webinar Calendar

ODSC’s free webinar series serves to educate our community on the languages, tools, and topics of AI and Data Science


Building a Big Data Platform in the Cloud

 

Speaker: Andreas Heim, VP of Engineering at Unacas

Bio:   Andreas Heim is VP of Engineering at Unacast, the world’s leading location dataplatform. A seasoned developer, architect and team lead, his expertise lies in assembling teams that build robust and distributed real-time systems. Before joining Unacast, Andreas worked at BEKK Consulting in Oslo, where he was the Practice Lead for NoSQL and Big Data. Andreas has extensive experience inarchitecture and programming from several high profile projects in Norway, and can regularly be seen presenting at tech conferences in Norway and beyond. He holds a BSc. Hons. in Computer Engineering from Oslo University College and a degree in distributed systems from the University of Oslo. You can follow Andreas on his LinkedIn.


When:  May 10, 2018 at 1:00 PM EST
Hashtag: #odscwebinar

Abstract Unacast has spent three years in the cloud, scaling from a few thousand rows of data every month, to billions every single day. During this period, the tools and techniques have stayed the same, but the architecture and use cases of the tools have evolved. Unacast’s first employee and VP of Engineering, Andreas Heim, will share his learnings from the last three years by taking you through the history of Unacast from a Data and Engineering perspective.

 


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05/10/2018 10:00 AM
America/Los_Angeles
Building a Big Data Platform in the Cloud with Andreas Heim, VP of Engineering at Unacus

Unacast has spent three years in the cloud, scaling from a few thousand rows of data every month, to billions every single day. During this period, the tools and techniques have stayed the same, but the architecture and use cases of the tools have evolved. Unacast’s first employee and VP of Engineering, Andreas Heim, will share his learnings from the last three years by taking you through the history of Unacast from a Data and Engineering perspective.

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