Get Started with Google Cloud — selected guide
Setting up cost controls for BigQuery
Twelve practical entries spanning docs, networking, storage, IAM, cost, data, workflows, and APIs
Twelve 2018–2022 introductions use small tasks to explain networking, persistent storage, access control, BigQuery queries and cost limits, object versions, sensitive-data inspection, workflow orchestration, and speech transcription.
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BigQuery can process large amounts of data in a single query. This walkthrough shows how daily quotas limit the amount of query data processed, helping control runaway queries rather than setting a cap on every kind of BigQuery charge. 00:01–01:06(opens in a new tab)
Key Points Covered
- A project quota limits aggregate query data processed in the project, while a user quota applies separately to each user or service account. 00:01–01:06(opens in a new tab)
- When both quotas apply, usage counts against both and the stricter limit governs the query. 00:01–01:06(opens in a new tab)
- The example enters limits in tebibytes and explains that exceeding a daily limit produces an error. 01:06(opens in a new tab)
Full video: https://www.youtube.com/watch?v=3Z1SzQsYnH8(opens in a new tab)