Assignment | computer science | University of north texas at denton

CSCE 5300 Introduction to Big data and Data Science

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


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


4. Apply Map reduce problem using K-Means Clustering Technique. A view
point of the such algorithms are presented in the screenshot.  
Convert this into code and use right dataset to implement this scenario.

Marks will be distributed between logic, implementation and UI

Programming elements:
Hadoop MapReduce and HDFS

Source Code:  

Given in canvas.

ICE Submission Guidelines

1. ICE Submission is individual.  
2. ICE code has to be properly commented.  
3. The documentation should include the screenshots of your code/results with explanation.
4. Provide the explanation of the dataset/exercise as per your understanding.  
5. The similarity score for your document should be less than 15%.
6. All you need to do is submit the source code (properly commented) and documentation
(.pdf/.doc) with explanation and screenshot of source code having input logic and output
7. Submission after the deadline is considered as late submission.


Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
The price is based on these factors:
Academic level
Number of pages
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more