Description HW1 Deadline: Feb. 19th 5:59 P.M. (before class) In the lab session, we have shown how to perform WordCount using Hadoop. Now in this homework, we ask you to write a MapReduce program to count the 2nd letter of each word. Input Download the Complete Works of William Shakespeare from Project Gutenberg at http://www.gutenberg.org/cache/epub/100/pg100.txt […]
CSE 3244: Data Management in the Cloud Lab 3: Simulating a “buy and hold” strategy Instructor: Spyros Blanas, blanas.2@osu.edu TA: Kalyan Khandrika, khandrika.1@osu.edu This lab asks you to simulate the performance of a “buy and hold” investment strategy on the financial dataset that was used in the previous lab. We are interested in the value
2017/18 COM6012 – Assignment 2 Assignment Brief Deadline: 11:59PM on Friday 27 April 2018 How and what to submit Create a .zip file containing two folders. One folder per exercise. Name the two folders: Exercise1, Exercise2. Within each folder, include the .sbt file, the .scala files, the .sh files, and the files you get as
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School of Information Technologies Dr. Ying Zhou COMP5349: Cloud Computing Sem. 1/2018 Assignment 1: Simple Data Analysis with MapReduce and Spark Individual Work: 20% 1 Introduction 29.03.2018 This assignment tests your ability to implement simple data analytic workload using basic features of MapReduce and Spark framework. The data set you will work on is the
Cloud Computing Course Project 2018 Task 1. Basic Task (20 points) Without using MapReduce, write a simple program that COUNT the number of times each word occurs in text file “NovelTexts.txt” we prepared for you. Please report the time spent for your program to complete the task. Discuss possible ways to speed up
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Assignment 2 –Hadoop and HBase Assessment Summary Weighting: 15% Due Date: 23pm Sun 3 Jun Group Assignment Submission A word document containing all your answers Assignment Overview In this assignment, you write a report to show how Hadoop and HBase can be used to store the dblp data, and how queries retrieving
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Term Project 2: Map Reduce Due: 21st May (Mon) ~ 3rd June (Sun), 11:59 PM Submit on i-Campus 1. Project Introduction MapReduce is a new paradigm for large-scale parallel data processing introduced by Google engineers in 2004. It is generally used in the domain of databases. In this project, your task is to understand Map
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Problem Definition:: Given two collections of records R and S , a similarity function sim (..,, .)),, and a threshold τ , the set similarity join between R and S,, is to fi nd all record pairs r (ffrom R)) and s (ffrom S)) , such that sim (rr,, s)) >== τ . In this
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COMP9313 Problem statement:: Given a directed graph,, c ompute the average length of the in – com ing edges for each node . Input files : In the input file,, each line is in format of:: “ EdgeId FromNodeId ToNodeId Distance ” . In the above example,, the input i s like : 0 0
INF 553 – Spring 2018 Assignment 3 LSH & Recommendation System Deadline: 03/25 2017 11:59 PM PST Assignment Overview This assignment contains two parts. First, you will implement an LSH algorithm, using both Cosine and Jaccard similarity measurement, to find similar products. Second, you will implement a collaborative-filtering recommendation system. The datasets you are going
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