Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
DS 221 AUG 3:1 Introduction to Scalable Systems (VSS/YS)
·
Module 10
Data-Parallel Processing with MapReduce
1
Understanding MapReduce: Map, Shuffle, and Reduce
Explain the MapReduce programming model, including the map, shuffle, and reduce phases
2
Hadoop Core Components: HDFS, YARN, and MapReduce
Describe the roles of HDFS (storage), YARN (resource management), and the MapReduce engine in the Hadoop ecosystem
3
HDFS Architecture and Fault Tolerance
Explain the architecture of HDFS, including NameNode, DataNodes, and block replication for fault tolerance
4
MapReduce Execution: Data Flow & Component Interaction
Trace the data flow and component interaction during the execution of a MapReduce job
5
MapReduce Word Count Fundamentals
Implement a basic word count program using the MapReduce paradigm
6
Building an Inverted Index with MapReduce
Design a MapReduce algorithm to build an inverted index from a text corpus
7
Implementing Relational Joins with MapReduce
Design a MapReduce algorithm to perform a relational join between two datasets
Previous module
Infrastructure for Scalable Systems
Next module
Synthesis and Exam Preparation