INF 553 – Spring 2018 Assignment 2: Frequent Itemsets Deadline: 02/26 2018 11:59 PM PST Assignment Overview This assignment contains one main algorithm. You will implement the SON algorithm using the Apache Spark Framework. You will use three different datasets, ranging from very small to very large. This will help you to test, develop and […]
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Sub-Task 1.2: Platform as a Service Report In total this sub-task is worth 40% of the total course work marks. This report is worth 65% of the marks for this sub-task. The other 35% of the marks for this sub-task is awarded for achieving the goals set in the lab exercises. Note that on
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CSC 555: Mining Big Data Project, Phase 1 (due Thursday, February 15th) In this part of the project, you will 1) Set up a 3-node cluster and 2) perform data warehousing and transformation queries using Hive, Pig and Hadoop streaming. The modified Hive-style schema is at: http://rasinsrv07.cstcis.cti.depaul.edu/CSC555/SSBM1/SSBM_schema_hive.sql It is based on SSBM benchmark (derived
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Download and install Pig: cd wget http://rasinsrv07.cstcis.cti.depaul.edu/CSC555/pig-0.15.0.tar.gz gunzip pig-0.15.0.tar.gz tar xvf pig-0.15.0.tar set the environment variables (this can also be placed in ~/.bashrc to make it permanent) export PIG_HOME=/home/ec2-user/pig-0.15.0 export PATH=$PATH:$PIG_HOME/bin Use the same vehicles file. Copy the vehicles.csv file to the HDFS if it is not already there. Now run
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In this section we are going to use Hive to run a few queries over the Hadoop framework. These instructions assume that you are starting from a working Hadoop installation. It should be sufficient to start your instance and the Hadoop framework on it. Hive commands are listed in Calibri bold font
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Part 3 For this part of the assignment, you will run wordcount on a single-node Hadoop instance. I am going to provide detailed instructions to help you get Hadoop running. The instructions are following Hadoop: The Definitive Guide instructions presented in Appendix A: Installing Apache Hadoop. You can download 2.6.4 from here. You
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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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ITNPBD7 Assignment 2018 Movie Review Data Your task in completing this assignment is to analyse some movie review data. The data are contained in a file called ratedReviews.txt, which you can download from the module assignments page (where you also found this document). The file contains the text of movie reviews, each followed by a
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CSE 3244: Data Management in the Cloud Lab 2: Cleaning financial data Instructor: Spyros Blanas, blanas.2@osu.edu TA: Kalyan Khandrika, khandrika.1@osu.edu This lab asks you to clean a small financial dataset using MapReduce. In particular, the goal is to reconstruct missing data from non-trading days (weekends, bank holidays, natural disasters, etc.) by copying values from the
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Big Data Analytics(COMP4434) Assiget e(30 ars i tta) (Due 6 March 2018) 25 February 2018 Pease write Mareduce rgras t ru had t tace these three rbes with the give data. Yu shud suit 3 rgras fies ad a utut dcuet(scree shts are acceted). 1.[10 ars] Write a rgra t fid the ubers
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