Last week, Apache Spark released its latest version, Apache Spark 2.4.0. It is the fifth release in the 2.x line.
This release comes with Barrier Execution Mode for better integration with deep learning frameworks. Apache Spark 2.4.0 brings 30+ built-in and higher-order functions to deal with complex data types. These functions work with Scala 2.12 and improve the K8s (Kubernetes) integration. This release also focuses on usability, stability, and polish while resolving around 1100 tickets.
Read more about Apache Spark 2.4.0 on the official website of Apache Spark.
Building Recommendation System with Scala and Apache Spark [Tutorial]
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