How does BigQuery handle large datasets efficiently?
- Distributed Processing
- Single Node Processing
- Sequential Processing
- Batch Processing
Understanding how BigQuery handles large datasets efficiently is crucial for designing and optimizing data pipelines and query workflows. Distributed processing is a key feature of BigQuery's architecture, enabling scalable and high-performance analytics on large datasets.
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