An word count example and customer buying probability Hadoop-MapReduce
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Updated
Apr 20, 2017 - Java
An word count example and customer buying probability Hadoop-MapReduce
Data Mining Projects 2017
A tool for analyzing word counts of the Project Gutenberg text collection. Used in research reformulating the Zipf-Mandelbrot law.
MapReduce jobs: word count and set difference
Source code for the talk at Techorama Antwerp 2019
Describes the map-reduce concept used in Data Processing - Data Engineering
Implementation of Map reduce in parallel using Java 8 streams
A model classifying word pairs by their semantic similarity, using AWS, Hadoop and WEKA
Hammer Data Project
A Big Data related project. Part 1: Write JAVA code to download and decompress files, upload them onto HDFS, and write WordCount Algorithm to count each word in all the six books. Part 2: Use Twitter Search API to gather tweets about a topic on 6 different timelines and write a WordCount Algorithm to count each occurrence of a hashtag. Technolog…
Distributed Map-reduce ( Distributed systems )
Parallel implementation of Breadth-First Search algorith in Java MapReduce and PySpark. This implementation finds degrees of separation between Twitter Users
Laboratory exercise created with Apache Spark, in the context of the "Advanced Topics in Database Systems" course in NTUA
Running CouchDB in docker
Resources for learning distributed systems.
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