Big

Flink: Join two Data Streams

December 3, 2020December 3, 2020Apache Flink, Big Data and Fast Data, Flink, Java#apache flink, Big, Big Data Analytics, fast data analytics, Flink, Flink Streaming, joins, Streaming, streaming analytics

Reading Time: 3 minutes Apache Flink offers rich sources of API and operators which makes Flink application developers productive in terms of dealing with the multiple data streams. Flink provides many multi streams operations like Union, Join, and so on. In this blog, we will explore the Window Join operator in Flink with an example. It joins two data streams on a given key and a common window. Let say we have one stream which contains salary information of all Continue Reading

Flink: Union operator on Multiple Streams

September 15, 2020September 16, 2020Apache Flink, Big Data and Fast Data, Flink, Java, Streaming, Streaming Solutions#apache flink, Big, Big Data Analytics, fast data analytics, Flink, Flink Streaming, Streaming, streaming analytics

Reading Time: 3 minutes Apache Flink offers rich sources of API and operators which makes Flink application developers productive in terms of dealing with the multiple data streams. Flink provides many multi streams operations like Union, Join, and so on. In this blog, we will explore the Union operator in Flink that can combine two or more data streams together. We know in real-time we can have multiple data streams from different sources Continue Reading