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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.

May 01, 2015 · data warehouse came from sources within the organization: transactional systems, enterprise resource planning (ERP) applications, customer relationship management (CRM) ap-plications, and the like. The structure, volume, and rate of the data were all fairly predictable and well known. But with the cloud, a signi cant and rapidly growing share of

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