Designing and implementing MapReduce algorithms for a variety of common data processing tasks
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Updated
Jul 24, 2014 - Python
Designing and implementing MapReduce algorithms for a variety of common data processing tasks
Website that allows working with a spells database
Counts the word occurrences in a file
Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark
Map Reduce implementation using golang
Parallel mapreduce for Julia
Word co-occurrence and Matrix Multiplication using MapReduce
A MapReduce implementation in python in a docker simulated distributed system
HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
simple implementation of google mapreduce
Cross Correlation Algorithm.
Processing relational data using mapReduce, hive, pig.
❄Implement the common subgraph isomorphism algorithms (i.e. Ullmann, VF2) based on MapReduce on Hadoop
Text analysis: find a pattern in the text by using MapReduce algorithm and thread tools in C#
HW for the Big Data Computation course. Use Apache Spark and MapReduce algorithm to extract information from a dataset.
Using MapReduce to analyze trends in all tweets sent in 2020 using parallel computing
Design and implementation of different MapReduce jobs used to analyze a dataset on Covid-19 disease created by Our World In Data
Scalable MapReduce System on Google Cloud with FaaS (Function as a Service).
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