Building & Scaling Robust Zero-code IoT Streaming Data Pipelines w/ Open Source

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Since learning to program on a VAX 11/780, Paul Brebner has extensive R&D and consulting experience in distributed systems, technology innovation, software architecture and engineering, software performance and scalability, grid and cloud computing, and data analytics and machine learning.

Paul is the Technology Evangelist at Instaclustr. He’s been learning new scalable technologies, solving realistic problems, building applications, and blogging about an ever-increasing list of Open Source technologies. Paul has worked at UNSW, CSIRO, UCL (UK), NICTA/ANU, and several tech start-ups (including Founder/CTO of a NICTA spin-out). Paul has an MSc in Machine Learning and a BSc (Computer Science and Philosophy).