Dive into Spark Streaming by Gerard Maas
2,468 views · Published 12 November 2015 · 59:45 · Indexed 28 September 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
-
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
-
54:28
Dockerize user stories with Mayfly by Maarten Dirkse
-
1:01:45
Introduction to Modular Development by Mark Reinhold/Alan Bateman
-
39:41
Android and the Seven Dwarfs by Murat Yener
-
5:03
Devoxx Belgium 2015 Interview Michael Hoffer
-
1:02:00
Ask the JDK Architects by Mark Reinhold/Alan Bateman/Robert Field/Stuart Marks
-
15:55
Fast Rest API building with Unfiltered by Joost den Boer