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bq flat rate pricing Post Review

scanning a PB is a just a fun braggy demo. Enable to stop worrying and love BQ :)

Really good read by ⁦@thetinot⁩ as he departs the BigQuery team, also a good reminder of BQ’s flat rate pricing option : “My Favorite BigQuery Moments” by Tino Tereshko

I think BigQuery ML will become my go-to approach for batch prediction use cases. Makes a lot of things easier or unnecessary - feature transforms, data transfer, containerization of training/prediction jobs.And no additional costs if your company is on BQ's flat-rate pricing.

Yup, I get where bundled pricing makes sense e.g. predictable pricing. But, with the BQ example, users have the choice to go flat-rate or stay on-demand. If users choose to stay on-demand they still get *all * BQ features. Anthos is all or nothing. That's an important difference.

Ok, I see you have flat rate pricing. My actual experience with BQ today was 1/10,000th that thruput.

I'm scraping the bottom of the barrel now:4. Fine tune ACLs to user/groups. Writing to prod should only be done by service accounts.5. Look at flat-rate pricing ($40K+) for high-volume workloads.6. Use Slack's RSS feed integration app to hook into BQ's release notes feed.

(It wasn't me.)

Bq pm here. Without exception we work with customers to correct their bill, and we have flat rate pricing that solves the problem

To be fair, BQ has cost controls and flat rate pricing which mitigate that risk.