In Elasticsearch, we have the capability to employ bucket aggregations within other bucket aggregations, a technique that proves invaluable for comprehensive data analysis.

This method involves nesting aggregations to facilitate a multi-dimensional exploration of our data. Starting with primary bucket aggregations, we create initial divisions or buckets based on specific criteria, such as terms or date ranges. Within each of these primary buckets, we can then introduce secondary bucket aggregations to further partition the data, revealing more intricate patterns and insights.

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