© Dmitry Anoshin, Dmitry Shirokov, Donna Strok 2020
D. Anoshin et al.Jumpstart Snowflakehttps://doi.org/10.1007/978-1-4842-5328-1_6

6. Continuous Data Loading with Snowpipe

Dmitry Anoshin1 , Dmitry Shirokov2 and Donna Strok3
(1)
British Columbia, Canada
(2)
Burnaby, BC, Canada
(3)
Seattle, WA, USA
 

“You and I are streaming data engines.”

— Jeff Hawkins, in an interview by Knowstuff1 from 2012

If you’re a data analyst or data scientist or you’re on an executive team, you know the value of access to continuous and timely data at any given time. You want to know that whenever you’re querying data, transforming it, or accessing it in any way that the data represents the most up-to-date information available to use for data analysis.

If you have stale data, ...

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