Hadoop is like a HelloFresh kit. Just as HelloFresh provides pre-planned ingredients for a meal, Hadoop offers essential components and guidelines for processing and storing large datasets in a scalable, distributed system. It includes four key components: HDFS for data storage, MapReduce for data processing, YARN for managing resources and scheduling tasks, and Hadoop Common, which provides shared resources like libraries and utilities. This makes Hadoop a powerful tool for building scalable distributed systems for big data.
In this first part, we dive into the first two components: HDFS and YARN.
You can see my interactive slides here
OR static slides below:
