Lecture
This lecture covers the Hadoop ecosystem, focusing on the architectural choices of Hadoop, including the storage layer, programming model, execution engine, scheduling, optimizations, and fault tolerance. It also delves into the MapReduce programming model, explaining the data model, core functions, and providing a sample code for the word-count problem. The lecture discusses HDFS abstractions, replication, failures, evaluation, and the under-the-hood workings of MapReduce, highlighting its strengths and limitations.