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Creators/Authors contains: "Midhul Vuppalapati, Justin Miron"

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  1. (, USENIX Symposium on Networked Systems Design and Implementation)
    We present operational experience running Snowflake, a cloud- based data warehousing system with SQL support similar to state-of-the-art databases. Snowflake design is motivated by three goals: (1) compute and storage elasticity; (2) support for multi-tenancy; and, (3) high performance. Over the last few years, Snowflake has grown to serve thousands of customers executing millions of queries on petabytes of data every day. We discuss Snowflake design with a particular focus on ephemeral storage system design, query scheduling, elastic- ity and efficiently supporting multi-tenancy. Using statistics collected during execution of 70 million queries over a 14 day period, our study highlights how recent changes in cloud infrastructure have altered the many assumptions that guided the design and optimization of Snowflake, and outlines several interesting avenues of future research. 
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    Accepted Manuscript Full Text Available