Dipping into the Big Data River: Stream Analytics at Scale
YOW! Data 2017
This presentation explains the concept of Kappa and Lambda architectures and showcases how useful business knowledge can be extracted from the constantly flowing river of data.
It also demonstrates how a simple POC could be built in a day with only getting your toes wet by leveraging Docker and other technologies like Kafka, Spark and Cassandra.
Big Data Engineer
Radek Ostrowski is a Big Data/Machine Learning Engineer with an academic background in high-performance computing. He specialises in building scalable real-time data collection and predictive analytics platforms. He is a triple winner in two different international IBM Apache Spark competitions, Kaggle Data Science Competitions Expert and a Docker Mentor. Speaker at the biggest Polish and Serbian IT conferences. Currently working for Commonwealth Bank of Australia and Toptal (http://bit.do/topt). His personal interests include blockchain, cryptocurrencies and smart contracts.