Chapter 1 Introduction to Apache Flink

With distributed technologies evolving ([ɪ'vɒlvɪŋ])all the time, engineers are trying to push those technologies to their limits. Earlier, people were looking for faster, cheaper ways to process data. This need was satisfied when Hadoop was introduced. Everyone started using.Hadoop, started replacing their ETLs with Hadoop-bound ecosystem tools. Now that this need has been satisfied and Hadoop is used in production at so many companies, another need arose to process data in a streaming manner, which gave rise to technologies such as Apache Spark and Flink. Features, such as fast processing engines, the ability to scale in no time, and support for machine learning and graph technologies, are popularizing these technologies among the developer communityWith distributed technologies evolvi