Dive into Spark Streaming by Gerard Maas
2,470 views · Published 12 November 2015 · 59:45 · Indexed 20 October 2026
Channel: Devoxx · 2015 · People & Blogs
Apache Spark is a distributed computing framework that enables scalable, high-throughput, and fault-tolerant processing of data. Spark Streaming delivers the power of Spark to process streams of data in near real-time. After a quick recon of the surface, in this talk we are going to dive into Spark Streaming functional and operational aspects. Through several examples, we will explore the Spark Streaming API, will discuss some of the challenges of processing streaming data in real-time and will provide a clear understanding of the internal processes that are key for the successful production deployment of a Spark Streaming application.
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
-
29:13
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
-
59:23
Modern Java Component Design with Spring 4.2 by Juergen Hoeller