K-means clustering algorithm using MapReduce.
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Updated
Jun 1, 2024 - Python
K-means clustering algorithm using MapReduce.
A small hobby implementation of MapReduce that I hacked together at 2am.
An open source framework for building data analytic applications.
Redisson - Easy Valkey/Redis Java client and Real-Time Data Platform. Sync/Async/RxJava/Reactive API. Over 50 Redis based Java objects and services: Set, Multimap, SortedSet, Map, List, Queue, Deque, Semaphore, Lock, AtomicLong, Map Reduce, Bloom filter, Spring Cache, Tomcat, Scheduler, JCache API, Hibernate, RPC, local cache ...
Big data computing tasks conducted with PySpark. The problems involve MapReduce and Streaming algorithms.
Enterprise job scheduling middleware with distributed computing ability.
Dynamic execution framework for your Redis data
Tutorials on Big Data essentials: Hadoop, MapReduce, Spark.
Big Data Project - CMP2024 - Computer Engineering - Cairo University
Big Data Project - CMP2024 - Computer Engineering - Cairo University
Some simple, kinda introductory projects based on Apache Hadoop to be used as guides in order to make the MapReduce model look less weird or boring.
Reflexiv - a distributed genome assembler using Reflexible Distributed Kmer
Big Data Modeling, MapReduce, Spark, PySpark @ Santa Clara University
Solidity library implementing some functional programming methods: map(), reduce() and filter() functionality
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