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With version 2.2 of Apache Spark, a long-awaited feature for the multipurpose in-memory data processing framework is now available for production use.
Structured Streaming, as that feature is called, allows Spark to process streams of data in ways that are native to Spark's batch-based data-handling metaphors. It's part of Spark's long-term push to become, if not all things to all people in data science, then at least the best thing for most of them.
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Read: Apache Spark 2.2 gets streaming, R language boosts