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Wednesday, March 21 • 2:20pm - 3:10pm
Spark Streaming vs. Kafka Streams - two stream processing platforms compared
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Independent of the source of data, the integration and analysis of event streams gets more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analyzed, often with many consumers or systems interested in all or part of the events. In this session we compare two popular Streaming Analytics solutions: Spark Streaming and Kafka Streams.
Spark is fast and general engine for large-scale data processing and has been designed to provide a more efficient alternative to Hadoop MapReduce. Spark Streaming brings Spark's language-integrated API to stream processing, letting you write streaming applications the same way you write batch jobs. It supports both Java and Scala. 
Kafka Streams is the stream processing solution which is part of Kafka. It is provided as a Java library and by that can be easily integrated with any Java application.
Speakers
avatar for Guido Schmutz

Guido Schmutz

Platform Architect, Trivadis
Guido Schmutz works for the Oracle Platinum Partner Trivadis. He has more than 30 years of technology experience. At Trivadis he leads the Trivadis Architecture Board. He has long-time experience as developer, coach, trainer, and architect in the area of building IT systems. In the... Read More →

Wednesday March 21, 2018 2:20pm - 3:10pm PDT
5-Rm 105
  Big Data