CSCE 5300 Introduction to Big data and Data Science
ICE-3

CSCE 5300 Introduction to Big data and Data Science
ICE-3

Lesson Title: Hadoop MapReduce and Hadoop Distributed File System (HDFS)

Lesson Description: Overview of Hadoop and Map Reduce Paradigm. The Lesson focuses on
map reduce applications with coding exercises by actual implementation

In class exercise

1. Matrix Multiplication in Map Reduce

Suppose we have a i x j matrix M, whose element in row i and column j will be denoted and
a j x k matrix N whose element in row j and column k is donated by then the product P = MN
will be i x k matrix P whose element in row i and column k will be donated by ,
where = .

1. Create a Map-Reduce Program to perform the task of matrix multiplication

Reference:

Matrix Multiplication with MapReduce

2. Breadth First Search using Map Reduce
3. Depth First Search using Map Reduce

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ICE-3 CSCE 5300 Introduction to Big Data and Data Science

Hadoop MapReduce and Hadoop Distributed File System are the titles of this lesson (HDFS)

Lesson Summary: An overview of the Hadoop and Map Reduce paradigms. The focus of the lesson is

map reduce apps through coding exercises followed by actual implementation

Exercise in class

1. Map Reduce Matrix Multiplication

Assume we have an I x j matrix M, with elements in row I and column j indicated and

a j x k matrix N, where each element in row j and column k is supplied by the product P = MN

will be i x k matrix P whose element in row i and column k will be donated by ,

where = .

1. Create a Map-Reduce Program to perform the task of matrix