Engineering the Future of Software
18-19 October 2016: Training
19-21 October 2016: Tutorials & Conference
London, UK
Kai Wähner

Kai Wähner
Technology Evangelist, Confluent

Website | @KaiWaehner

Kai Waehner is a technology evangelist at Confluent. Kai’s areas of expertise include big data analytics, machine learning, deep learning, messaging, integration, microservices, the internet of things, stream processing, and the blockchain. He is regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture, and ApacheCon and has written a number of articles for professional journals. Kai also shares his experiences with new technologies on his blog.

Sessions

10:45–12:15 Thursday, 20/10/2016
Integration architecture
Location: Blenheim Room Level: Beginner
Kai Wähner (Confluent)
Average rating: *....
(1.67, 3 ratings)
With the growth of mobile, the cloud, and the Internet of Things, the world is becoming more connected every year. Big data frameworks leverage machine-learning frameworks such as R, Apache Spark, or H2O to find patterns. Kai Wähner explores "fast data" frameworks, which embed these patterns into real-time processing, and explains how they are strongly related to microservices. Read more.
14:15–15:05 Thursday, 20/10/2016
Distributed systems
Location: Park Suite (St. James/Regents) Level: Beginner
Kai Wähner (Confluent)
Average rating: **...
(2.50, 4 ratings)
IT applications and microservices generate terabytes of distributed log data from mobile devices, the Internet of Things, and social networks. Kai Wähner compares open source frameworks and SaaS cloud solutions for operational intelligence and log analytics, explains how these differ from big data stores such as Hadoop, and offers a live demo demonstrating how to analyze distributed microservices. Read more.