Professional Data EngineerEnsuring solution qualityHard
A fast-growing startup is building a new real-time analytics platform on Google Cloud. They anticipate rapid increases in data volume and query complexity, and need a BigQuery solution that can handle petabytes of data and thousands of concurrent users without performance degradation. The solution must provide consistent, high performance and low latency, even under extreme load, to support interactive dashboards and ad-hoc analysis. Which BigQuery feature should they prioritize to ensure scalable and high-performance analytics for their growing needs?
- ABigQuery Scheduled Queries
- BBigQuery Slots (compute units) with Flat-Rate pricing
- CBigQuery Data Transfer Service
- DBigQuery BI Engine
Show answer & explanationAnswer & explanation
Correct answer: B. BigQuery Slots (compute units) with Flat-Rate pricing
BigQuery's Flat-Rate pricing model provides dedicated BigQuery slots (compute units), offering predictable performance and cost. For a fast-growing startup anticipating high loads and thousands of concurrent users, acquiring dedicated slots ensures consistent, high performance and low latency for complex queries and interactive dashboards, preventing performance degradation that could occur with the shared resources of on-demand pricing.
Why the other options are wrong
- A. Scheduled Queries automate query execution at specific intervals, which is for operational efficiency, not for ensuring scalable, high-performance compute capacity.
- C. Data Transfer Service automates data movement from other sources into BigQuery, but it doesn't provide query compute capacity or performance guarantees.
- D. BI Engine accelerates specific interactive dashboards and reports but doesn't provide the underlying scalable compute capacity for all complex queries and thousands of concurrent users.
BigQuery Flat-Rate Pricing (Slots)
A BigQuery pricing model where users commit to a fixed amount of dedicated compute capacity (slots) per second, providing predictable performance and costs.
- Guarantees a consistent level of query performance.
- Ideal for large, enterprise-level workloads with high concurrency.
- Cost is predictable, regardless of data scanned (after commitment).
Memory trick: Slots Scale Swiftly.