Improve your App UX with one model processing insights from batch and streams


bigdata (Big) Data

Room B3

Saturday from 15:30 til 16:20

In 2004 MapReduce was introduced, a model that kick-started big data. 10 years later, Google published Dataflow - a new paradigm, integrating batch and stream processing in one common abstraction. This time it was more than a paper, but also an open source Java SDK and a cloud managed service to run it. In 2016 Dataflow became an incubation project at the Apache Software Foundation - Beam was born, unifying batch and streaming, and also the big data world. In this talk we'll demonstrate Dataflow’s capabilities through a real-time demo with practical insights on how to manage and visualize streams of data.

Robert Kubis Robert Kubis

Robert is a Developer Advocate for the Google Cloud Platform based in London specializing in Container, Storage and Scalable technologies. Before joining Google, Robert collected over 10 years of experience in Software Development and Architecture. He has driven multiple full-stack application developments at SAP with a passion for distributed systems, containers and databases. In his spare time he enjoys following tech trends, good restaurants, traveling and improving his photographing skills :)