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翻译中 by-zky001
Apache Spark @Scale: A 60 TB+ production use case
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@ -114,7 +113,7 @@ While this post details our most challenging use case for Spark, a growing numbe
via: https://code.facebook.com/posts/1671373793181703/apache-spark-scale-a-60-tb-production-use-case/?utm_source=dbweekly&utm_medium=email
作者:[Sital Kedia][a] [王硕杰][b] [Avery Ching][c]
译者:[zky001](https://github.com/zky001)
译者:[译者ID](https://github.com/译者ID)
校对:[校对者ID](https://github.com/校对者ID)
本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译,[Linux中国](https://linux.cn/) 荣誉推出

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Translating by Bestony
GETTING STARTED WITH ANSIBLE
==========