Summary
In this chapter, we learned about the big data landscape and how MongoDB compares with, and fares against, message-queuing systems and data warehousing technologies. Using a big data use case, we learned how to integrate MongoDB with Kafka and Hadoop from a practical perspective. Finally, we learned about data lakes and how we can use them to store and process data from different data sources such as MongoDB Atlas and Amazon S3 buckets.
In the next chapter, we will turn to replication and cluster operations, and discuss replica sets, the internals of elections, and the setup and administration of our MongoDB cluster.
