Flink is a stream processing technology with added capability to do lots of other things like batch processing, graph algorithms, machine learning etc. Using Flink you can build applications which need you to be highly responsive to the latest data such as monitoring spikes in payment gateway failures or triggering trades based on live stock price movements. This course has30Solved Exampleson buildingFlink Applications for both Streaming and Batch ProcessingWhat’s covered?1) Transformations in the DataStream API: filter, map, flatMap and reduce2) Operations on multiple streams: union, cogroup, connect, comap, join and iterate3) Window operations: Tumbling, Sliding, Count and Session windows; the notion of time and how to implement custom Window functions4) Managingfault-tolerancewith State and Checkpointing5) Transformations in the DataSet API: filter, map, reduce, reduceGroup6)Applying ML algorithms on the fly usingFlink-ML7)Representing Graph data using Gelly
