Learn By Example : Apache Flink

About Learn By Example : Apache Flink

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 has

30 Solved Examples

on building Flink Applications for both Streaming and Batch Processing

What's covered?

1) Transformations in the

DataStream API :

filter, map, flatMap and reduce 2) Operations on

multiple streams

: union, cogroup, connect, comap, join and iterate 3)

Window operations :

Tumbling, Sliding, Count and Session windows; the notion of time and how to implement custom Window functions 4) Managing

fault-tolerance

with

State

and

Checkpointing

5) Transformations in the

DataSet API :

filter, map, reduce, reduceGroup 6) Applying ML algorithms on the fly using

Flink-ML

7) Representing Graph data using

Gelly