Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
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Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
big-data apache-spark algorithms glossary data-transformation pyspark data-engineering partitioning-algorithms monoid data-analysis mapreduce spark-dataframes data-algorithms data-partition mapreduce-algorithm santa-clara-university spark-rdd mapreduce-python pyspark-algorithms-book ai-llm
❄Implement the common subgraph isomorphism algorithms (i.e. Ullmann, VF2) based on MapReduce on Hadoop
subgraph-count isomorphism mapreduce subgraph-isomorphism mapreduce-algorithm ullmann vf2 ullmann-algorithm vf2-algorithm
HAPOD - Hierarchical Approximate Proper Orthogonal Decomposition
data-science hpc data-driven data-reduction datascience high-performance-computing pca pod mapreduce unsupervised-learning svd model-reduction model-order-reduction dimension-reduction proper-orthogonal-decomposition mapreduce-algorithm distributed-memory limited-memory
Map Reduce implementation using golang
Naive Implementation of Machine Learning Algorithms in distributed frameworks MapReduce and Spark
spark hadoop pyspark mapreduce kmeans knn kmeans-clustering hadoop-mapreduce kmeans-algorithm knn-classification mapreduce-java knn-classifier kmeans-clustering-algorithm bisecting-kmeans mapreduce-algorithm bisecting-kmeans-clustering
A MapReduce framework implemented from scratch to perform K-mean clustering
A full-stack Search Engine built for a Big Data course project. It scrapes over 200K articles, stores them in HDFS, and builds an inverted index using MapReduce. Designed to demonstrate scalable data processing, distributed storage, and basic information retrieval over large datasets.
typescript database pagerank hdfs inverted-index entityframework webscraping tailwindcss mapreduce-algorithm
Word co-occurrence and Matrix Multiplication using MapReduce
big-data matrix-multiplication mapreduce hadoop-mapreduce big-data-analytics mapreduce-java mapreduce-algorithm word-cooccurrence
Lightweight and extensible library to execute MapReduce-like jobs in Python
python map command multiprocessing parallel-computing python3 reduce mapreduce builder-pattern mapreduce-jobs joshua-bloch multiprocess mapreduce-algorithm mapreduce-python
Designing and implementing MapReduce algorithms for a variety of common data processing tasks
This project implements a custom MapReduce-based query execution engine and compares its performance with a traditional relational database (SQL Server).
K-means clustering algorithm using MapReduce.
distributed-systems protocol-buffers grpc map-reduce mapreduce kmeans k-means protobuf3 kmeans-clustering kmeans-algorithm k-means-implementation-in-python k-means-clustering kmeans-clustering-algorithm grpc-python mapreduce-algorithm mapreduce-python protobuf-python k-means-implementation k-means-algorithm remote-communication
Parallel mapreduce for Julia
Counts the word occurrences in a file
MapReduce POC Implementation
Text analysis: find a pattern in the text by using MapReduce algorithm and thread tools in C#
Design and implementation of different MapReduce jobs used to analyze a dataset on Covid-19 disease created by Our World In Data
java yarn hadoop java-8 mapreduce hadoop-filesystem hadoop-mapreduce mapreduce-jobs mapreduce-java hadoop-hdfs hadoop-yarn mapreduce-algorithm covid-19 ourworldindata mapreduce-applications
Cross Correlation Algorithm.
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