MongoDB for Data Analysis – 15 minutes to save you 15 hours (at least!) (MongoDB World 2022)

Are you a software engineer being used for data science lite? Working with MongoDB documents in the most popular data science tools has always been possible, but with the latest release of our PyMongoArrow library, it has become even easier to extract, transform, and load data into the technologies of your choice. In this lightning talk, we will show how to upload data into MongoDB Atlas from a CSV and a DataFrame. Then, we’ll extract the data into a parquet file, NumPy array, and DataFrame. Define your schema on the fly!

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