What is data partitioning in a cloud data warehouse?
Tests your grasp of physical data layout optimization. A good answer defines partitioning as dividing a table by a column (e.g., date), then explains how this enables partition pruning to improve query speed and reduce cost by scanning less data.
This question tests your understanding of physical data layout optimization and its direct impact on business metrics like cost and speed. A strong answer defines partitioning as dividing a table into segments based on a column like a date. This enables 'partition pruning,' where queries only scan relevant segments, drastically improving performance. Crucially, this reduces the bytes processed, directly lowering costs in pay-per-query systems.
Read the original → docs.cloud.google.com
- #data warehouse
- #bigquery
- #performance
- #cost optimization
- #data modeling
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