Note (2022) :All the codes are updated with latest Flink version. Apache Flink is the successor to Hadoop and Spark. It is the next generation Big data engine for Stream processing. If Hadoop is 2G, Spark is 3G then Apache Flink is the 4G in Big data stream processing frameworks. Actually Spark was not a true Stream processing framework, it was just a makeshift to do it but Apache Flink is a TRUE Streaming engine with added capacity to perform Batch, Graph, Table processing and also to run Machine Learning algorithms. Apache Flink is the latest Big data technology and is rapidly gaining momentum in the market. It is assumed that same likeApache Spark replaced Hadoop, Flink can also replace Spark in the coming near future. Demand of Flink in market is already swelling. Big companies like Capital One (Bank), Alibaba (eCommerce), Uber (Transportation) have already started using Apache Flink to process their Real-time Big data and thousands other are diving into. What’s included in the course? Complete Apache Flink concepts explainedfrom Scratch to Real-Time implementation. Each and Every Apache Flink concept is explained with a HANDS-ON Flink code of it. Include even those concepts, the explanation to which is not very clear even in Flink official documentation. For Non-Java developer’s help, All Flink Java codes are explained line by line in such a waythat even a non -technical person can understand. Flink codes and Datasetsused in lectures areattached in the course for your convenience. All the codes are updated with latest Flink version.
