To combine MongoDB and Hadoop for scalable data processing, developers can use the Mortar Development Framework, which provides a step-by-step tutorial to get started with MongoDB and Hadoop in minutes. The framework uses Apache Pig, a high-level data flow language that compiles down into Hadoop MapReduce jobs, making it easy to learn and simple to write. With Mortar, users can run their Hadoop jobs without worrying about setting up and managing a multi-node Hadoop cluster, thanks to the platform's Hadoop-as-a-service model. The tutorial includes three example scripts: Characterize Collection, MongoDB Schema Generator, and Twitter Hourly Coffee Tweets, which demonstrate how to extract metadata from MongoDB collections, generate Pig schemas, and process large datasets using Hadoop. By following this tutorial, developers can gain hands-on experience with MongoDB and Hadoop integration, enabling them to scale their data processing and analytics capabilities.