The video tutorial covers Amazon EMR pricing, cost management strategies, and handling node failures. It explains how to resize clusters and manage task nodes for temporary processing needs. The tutorial also discusses managed scaling in EMR, its evolution, and how it works with instance groups and fleets. Finally, it provides an introduction to Hadoop, detailing its architecture, components like HDFS and YARN, and the transition from MapReduce to Apache Spark for data processing.

What is the role of HDFS in the Hadoop architecture?

Describe the MapReduce framework and its components.

How has Apache Spark changed the landscape of data processing compared to MapReduce?