The blog post discusses techniques for performing aggregate grouping of data using Couchbase Server, specifically through N1QL's ARRAY_AGG function and MapReduce Views, drawing parallels to SQL functions like MySQL’s GROUP_CONCAT and SQL Server's FOR XML PATH workaround. The author shares a solution developed with a solution engineer for grouping patient documents by their doctorId, creating a collection of patients for each doctor. This method is useful for applications needing aggregated data views, such as dashboards. While the author finds N1QL's method more straightforward, they acknowledge potential performance advantages of using MapReduce. Additionally, the post provides guidance on setting up and employing these methods, referencing sample data and offering further resources for learning about N1QL and MapReduce Views. The author invites feedback and discussion from readers for potential improvements.