Hello there,
As I’m currently on a project that heavily relies on MongoDB as our primary database solution. While I have managed to get a grip on the basics of MongoDB querying, I have hit a bit of a roadblock when it comes to executing more intricate queries using the Aggregation Framework.
My main challenge lies in aggregating data from multiple collections, applying diverse stages like $lookup, $match, $group, and $project, and then performing calculations based on this aggregated data.
https://stackoverflow.com/questions/21818162/need-some-help-guidance-on-mongodb-aggregation-mapreduce-queriesinfo
I am reaching out to kindly ask if anyone here could offer some guidance or perhaps share examples on how to tackle these complex queries effectively using the Aggregation Framework.
I’m particularly interested in learning about best practices for optimizing performance and efficiency, especially with handling large datasets.
Also, if anyone could point me towards recommended resources, tutorials, or documentation that delve deeper into advanced MongoDB aggregation techniques, I would be grateful.
Thankyou in advance.