Flink also an Apache project offers an alternative to platforms like Hadoop It39s a newer technology whose main advantage is simplified data processing Data analysts can build Flink pipelines using Java or Scala and Flink handles the compilation and optimization automatically Flink39s main drawback for some use cases is that unlike Hadoop it does not couple storage with data processing It provides only the latter data storage has to be handled by a separate platform

Apache Flink

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May 11, 2016

Flink, also an Apache project, offers an alternative to platforms like Hadoop. It's a newer technology, whose main advantage is simplified data processing. Data analysts can build Flink pipelines using Java or Scala, and Flink handles the compilation and optimization automatically. Flink's main drawback for some use cases is that, unlike Hadoop, it does not couple storage with data processing. It provides only the latter; data storage has to be handled by a separate platform.

Flink, also an Apache project, offers an alternative to platforms like Hadoop. It's a newer technology, whose main advantage is simplified data processing. Data analysts can build Flink pipelines using Java or Scala, and Flink handles the compilation and optimization automatically. Flink's main drawback for some use cases is that, unlike Hadoop, it does not couple storage with data processing. It provides only the latter; data storage has to be handled by a separate platform.

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