Data Streaming and Analytics with Apache Kafka
Ovidiu Petridean - Dev Manager @ SDL Research
13nd November, 11:00-13:00
As you maybe know, Kafka is a massively scalable streaming platform architected as a distributed transaction log, making it highly valuable for enterprise infrastructures to process streaming data. It aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds. Kafka is used in production by 60% of the top 500 fortune companies. You can think of people like Uber, Yelp, IBM, Netflix, Tesla and many others.
The goal of this workshop is to introduce you the main Kafka characteristics tried by practical examples. We are gonna play with twitter stream datasets, do SQL on Kafka and other streaming and connect examples.
Examples will be explained and written using Java language.
Passionate about emerging technologies, Big Data and the microservices world. I lead an awesome team that delivers great results by turning research work into products. Most of my work is technical and it involves design, architecture and implementation of high-end scalable solutions to challenging problems at the intersection of Artificial Intelligence and Software Engineering. I like working with the newest technologies and I adopted the microservices architecture since 2014 and started working with cool stuff like Kafka since its 0.7 version