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This document discusses Ruby's role in data processing. It outlines the typical steps of data processing - collect, summarize, analyze, visualize. It then provides examples of open-source Ruby tools that can be used for each step, such as Fluentd for collection, and libraries for numerical analysis, bioinformatics, and machine learning. Services that use Ruby for collection and processing are also mentioned, like Log Analytics and Stackdriver Logging. The document encourages continuing to improve Ruby tools to make data processing better and celebrates Ruby's 25th anniversary.

















