Tim Kadlec • 12/10/2019

Using BigQuery Without Breaking the Bank

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This article discusses strategies for cost-effectively using Google BigQuery, especially for exploring its vast public datasets like HTTP Archive and CrUX. It provides practical advice such as starting with the free tier, setting per-query 'maximum bytes billed' limits, and using overall budget controls to avoid unexpected charges while analyzing large-scale data.

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#data analysis #Google Cloud #Query Optimization
Using BigQuery Without Breaking the Bank

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