Your analytics org will run three workloads: (1) cost-sensitive ad-hoc queries that only need a 99.9 % SLA; (2) scheduled dashboard refreshes that must finish quickly during business hours and need a 99.99 % SLA; (3) 24×7 fraud-detection queries that demand automatic cross-region DR with ≤15-minute RPO and a 99.999 % SLA. What mix of BigQuery Edition reservations minimizes cost while meeting all requirements?
Use on-demand pricing for ad-hoc work and share a single Standard Edition reservation for both dashboard and fraud-detection workloads.
Purchase separate reservations: Standard Edition for ad-hoc analysis, Enterprise Edition for dashboards, and Enterprise Plus Edition for fraud detection.
Purchase Enterprise Edition slots only, then use job priorities to differentiate the three workloads.
Purchase a single Enterprise Plus reservation and let all workloads share the same pool of slots.
Map each workload to the least-expensive edition that still satisfies its SLA and DR needs.
Ad-hoc analysis: Standard Edition (99.9 % SLA, lowest price).
Dashboards: Enterprise Edition (99.99 % SLA plus autoscaling concurrency, cheaper than Enterprise Plus).
Fraud detection: Enterprise Plus Edition (99.999 % SLA and built-in cross-region replication with ≤15-minute RPO). Creating separate reservations in each edition and assigning the appropriate jobs to them meets every requirement without paying Enterprise Plus prices for all slots.
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What are BigQuery Editions and their differences?
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What is Recovery Point Objective (RPO) in BigQuery Enterprise Plus Edition?
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How does autoscaling concurrency work in BigQuery Enterprise Edition?
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What is an SLA and why is it important in cloud services?
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How does BigQuery Enterprise Plus ensure automatic cross-region disaster recovery (DR)?
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What do job priorities mean in BigQuery, and why are they insufficient for mixed SLA workloads?
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