Apache Flink is another recent player in the Big Data space. Flink integrates batch and stream processing in a novel way. Join us in exploring Apache Flink and its architecture, internals, and its data and programming models. We explore its features for stream processing and compare it to Apache Spark and Apache Beam. You will learn about streaming and why do we need it and you will experience it through Flink’s streaming APIs in a running application.
Dr. Vladimir Bacvanski interest is in better and more productive ways to develop Big Data applications. He is a founder of SciSpike, a company doing custom development, consulting and training and engages clients on Big Data and scalable systems topics. His recent projects include Big Data and Internet of Things in healthcare, reactive Big Data and Web Scale systems and introducing Scala, Akka, and Spark in a large financial organization. Vladimir is the author of the O'Reilly course "Introduction to Big Data" http://shop.oreilly.com/product/0636920040804.do .