Friday, November 26, 2021

How (and Why) to Move from Spark on YARN to Kubernetes

Apache Spark is among the most usable open-source distributed computing frameworks because it allows data engineers to parallelize the processing of large amounts of data across a cluster of machines.

When it comes to data operations, Spark provides a tremendous advantage as a resource for data operations because it aligns with the things that make data ops valuable. It is optimized for machine learning and AI, which are used for batch processing (in real-time and at scale), and it is adept at operating within different types of environments.



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