Chapter 13. Working with MapReduce
MongoDB is a document-based database used to tackle a large amount of data by companies such as Forbes, Bit.ly, Foursquare, Craigslist, and so on. In Chapter 12, Data Processing and Aggregation with MongoDB, we learned how to perform the basic operations and aggregations with MongoDB. In this chapter, we will learn how MongoDB implements a MapReduce programming model using Jupyter and PyMongo.
In this chapter, we will cover the following topics:
- An overview of MapReduce
- Programming model
- Using MapReduce with MongoDB
- Filtering the input collection
- Grouping and aggregation
- The most common words in Tweets
Tip
In the following link, we can find a list of production deployments of MongoDB:
