Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
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Updated
Nov 13, 2024 - HTML
Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
❄Implement the common subgraph isomorphism algorithms (i.e. Ullmann, VF2) based on MapReduce on Hadoop
HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark
Map Reduce implementation using golang
Word co-occurrence and Matrix Multiplication using MapReduce
Designing and implementing MapReduce algorithms for a variety of common data processing tasks
Parallel mapreduce for Julia
K-means clustering algorithm using MapReduce.
Counts the word occurrences in a file
Website that allows working with a spells database
Design and implementation of different MapReduce jobs used to analyze a dataset on Covid-19 disease created by Our World In Data
Cross Correlation Algorithm.
Text analysis: find a pattern in the text by using MapReduce algorithm and thread tools in C#
simple implementation of google mapreduce
A MapReduce implementation in python in a docker simulated distributed system
Processing relational data using mapReduce, hive, pig.
Using MapReduce to analyze trends in all tweets sent in 2020 using parallel computing
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