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Data sampling in PostgreSQL

Olga Berezovsky
Data Analysis Journal
2 min readJan 19, 2018

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Working with big data you often have to apply different sampling techniques for your analysis — select a representative subset of data to identify patterns and trends in the larger data set. For example, if you need to pull a subset of some type of returning/not active/churned/etc users for a specific product and then to profile them, or simply randomly choose some user distribution % for any deep-dive analysis.

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