A team is creating a new Delta table for order line items. Queries almost always filter on `order_date` and `customer_id`. The team's older tables use Hive-style partitioning on a date column plus nightly `OPTIMIZE ... ZORDER BY` jobs, and the team plans to copy that design. What does Databricks currently recommend for this new table?
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Correct answer: Liquid Clustering with order_date and customer_id as keys — incremental layout, no ZORDER jobs
Reference: https://docs.databricks.com/aws/en/tables/clustering
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Official Answer (A): Liquid Clustering with order_date and customer_id as keys — incremental layout, no ZORDER jobs
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