Transcription of The Snowflake Elastic Data Warehouse
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The Snowflake Elastic Data Warehouse
The Snowflake Elastic Data WarehouseBenoit Dageville, Thierry Cruanes, Marcin Zukowski, Vadim Antonov, Artin Avanes,Jon Bock, Jonathan Claybaugh, Daniel Engovatov, Martin Hentschel,Jiansheng Huang, Allison W. Lee, Ashish Motivala, Abdul Q. Munir, Steven Pelley,Peter Povinec, Greg Rahn, Spyridon Triantafyllis, Philipp UnterbrunnerSnowflake ComputingABSTRACTWe live in the golden age of distributed computing. Pub-lic cloud platforms now offer virtually unlimited computeand storage resources on demand. At the same time, theSoftware-as-a-Service (SaaS) model brings enterprise-classsystems to users who previously could not afford such sys-tems due to their cost and complexity. Alas, traditionaldata warehousing systems are struggling to fit into this newenvironment. For one thing, they have been designed forfixed resources and are thus unable to leverage the cloud selasticity. For another thing, their dependence on complexETL pipelines and physical tuning is at odds with the flex-ibility and freshness requirements of the cloud s new typesof semi-structured data and rapidly evolving decided a fundamental redesign was in order.
May 01, 2015 · ake Elastic Data Warehouse, or \Snow ake" for short. Snow ake is a multi-tenant, transactional, secure, highly scalable and elas-tic system with full SQL support and built-in extensions for semi-structured and schema-less data. The system is o ered as a pay-as-you-go service in the Amazon cloud. Users up-
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