MongoDB aggregation: save results in a Pandas DataFrame

TL, DR MongoDB is one of the leading NoSQL databases, and its aggregation framework enables powerful queries, as well as data operations. We will see how to save results from aggregation pipelines into a Pandas DataFrame. From MongoDB to Pandas I already provided an introduction to MongoDB and Compass in a previous post for my… Continue reading MongoDB aggregation: save results in a Pandas DataFrame

MongoDB aggregation: match a field with values in a list

TL, DR MongoDB is one of the leading NoSQL databases, and its aggregation framework enables powerful queries, as well as data operations. We will see how to match a field with values in a list to help you select. Matching values in a list I already provided an introduction to MongoDB and Compass in a… Continue reading MongoDB aggregation: match a field with values in a list

MongoDB aggregation: create your data pipelines

TL, DR MongoDB is one of the leading NoSQL databases, and its aggregation framework enables powerful queries, as well as data operations. We will see how to quickly create data pipelines and create code you can use in your projects. The power of a Compass You use MongoDB as data repository because it’s so simple… Continue reading MongoDB aggregation: create your data pipelines