MongoDB is amazing! It is fast, reliable, highly scalable and flexible; and at the core of its flexibility, there is the Aggregation Framework. In this course, Aggregating Data across Documents in MongoDB, you will learn all the ways in which one find data throughout many documents. First, you will learn the Aggregation Framework in MongoDB, comparing it to Map Reduce and understanding the $match and $project stages. Next, you will discover about grouping our results and how to handle arrays with $unwind. Finally, you will explore how to save advanced reports on multiple types of aggregations. When you've finished this course, you will have foundational knowledge of the aggregation pipelines in MongoDB that will help you make the most complex operation seem incredibly easy!
Axel Sirota has a Masters degree in Mathematics with a deep interest in Deep Learning and Machine Learning Operations. After researching in Probability, Statistics and Machine Learning optimization, he is currently working at JAMPP as a Machine Learning Research Engineer leveraging customer data for making accurate predictions at Real Time Bidding.
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