We introduce the idea of MongoDB views - what they are, why they’re useful, when to use them, and how they relate to data aggregations - and walk you through how to create a view in Studio 3T using a small practice database courtesy of the UK’s Met Office.

Aggregation Editor lets users define operators and check inputs and outputs of an aggregation query one stage at a time, ensuring that the aggregation pipeline is accurate each step of the way.

Learn how to build aggregation queries that reduce the data in your collections to exactly just what you need.

Learn how to use regex to transform an external data set to JSON or export it to CSV for later import, and run aggregation queries to reduce the data before creating a MongoDB collection.

Take a look at how to build aggregation queries stage-by-stage with the Aggregation Editor.

Learn how to query the MongoDB aggregation pipeline more efficiently with the $bucket and $facet stages.

This series of short videos covers some Studio 3T basics and other lesser-known features. Discover tab color-coding, hidden MongoDB operators, and more!

Curious about how to query MongoDB? Learn the four different ways Studio 3T lets you begin querying by watching these short videos.

Get an understanding of the MongoDB Aggregation Framework and how to take advantage of indexes to speed up queries.

The full list of MongoDB aggregation operators and stages supported by the Aggregation Editor, Studio 3T's MongoDB aggregation query builder.

Learn how to filter elements from arrays in MongoDB by using the $elemMatch operator alongside find(), $match, and the $project and $filter functions.