MongoDB & NoSQL
Document databases with MongoDB — querying, aggregation pipelines, Compass, text search and nested data.
Intermediate
6 coursesFilter and Manipulate Data with Aggregations in MongoDB
Aggregations are one of the most powerful features of MongoDB. They allow you to filter, reshape and manipulate data in ways that go far beyond simple lookups. An aggregation pipeline is...
Modify Data for Analysis in MongoDB
Every analyst encounters this moment: we spot a typo, a strange date, or a missing value and ask ourselves "should I fix this, can I do this, or will I make things worse?" » This course c...
Query and Modify Data in MongoDB Compass
Imagine you work as a data analyst for a movie streaming service. Your team wants to explore information about movies, theaters, and customer reviews to better understand what audiences e...
Query Data in MongoDB
Working with data is no longer just about storing and retrieving it: it's about understanding it, filtering it and transforming it into relevant insights. MongoDB provides the necessary f...
Text Search and Pattern Matching in MongoDB
The performance impact of a regex query depends primarily on whether or not it can use an index.
Work with Dates, Arrays, and Nested Data in MongoDB
Working with dates, arrays, and nested data in MongoDB opens the door to questions that go far beyond flat records. These features give structure and meaning to your queries, helping you...
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