<ul><li>Partitioned tables in BigQuery help improve query performance, reduce scanning costs, and enable parallel processing.</li><li>A partitioned table divides data into smaller segments based on a column value, optimizing performance by scanning only relevant partitions.</li><li>Advantages include faster query performance, reduced scanning leading to lower costs, and increased parallelism for faster execution.</li><li>Partitioning can be done based on the ingestion time, date/timestamp column, or integer column, depending on the nature of the data.</li></ul>

BigQuery Partitioned Tables: Boost Query Performance & Cut Costs

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