Improve your App UX with one model processing insights from batch and streams by Robert Kubis
221 views · Published 12 May 2017 · 43:37 · Indexed 10 November 2026
Channel: Devoxx · 2017 · Science & Technology
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.
More from this channel
-
32:13
Writing Groovy AST Transformations: Getting Practical in an hour! by Baruch Sadogursky
-
25:58
TweetWallFX - Behind the Scenes by Sven Reimers
-
29:44
Second generation "workflow managers" for big data by Alex Van Boxel
-
29:13
Secrets are secrets. Please maintain them as secrets by Alex Soto
-
2:13:40
JavaScript build pipelines with Gulp.js by Stefan Baumgartner
-
2:04:09
Powerful Metaprogramming Techniques With Groovy by Jeff Brown
-
2:38:32
Distributed Machine Learning 101 using Apache Spark from a Browser by Xavier Tordoir/Andy Petrella
-
2:36:21
Caching 101: Caching on the JVM (and beyond) by Alex Snaps/Louis Jacomet