PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.
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Updated
Jun 18, 2024 - Java
PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
PolarDB-X is a cloud native distributed SQL Database designed for high concurrency, massive storage, complex querying scenarios.
Training the MASSIVE dataset by Amazon(english-US, German-DE and Swahili-KE)
word count in Spark
Building PageRank algorithm on Web Graph around Stanford.edu using NetworkX python library
Calculate statistical measures of one column in big data Datasets with these simply Hadoop Application
This repository contains a LaTeX file that generates a PDF document comprising comprehensive notes for the course "Algorithms for Massive Datasets"
University lab exercises with processing big data.
Permite abrir e manipular arquivos massivos de texto/dados cujo seria impossivel abrir em um computador, por exemplo um arquivo de texto de +20gb, permite manipular o arquivo pegando apenas as linhas necessárias sem travar o computador por falta de memória.
Command line tool to quickly generate a lot of files in a lot of directories
gipa -- compression/decompression tool to package compress and encode massive archive files with floating-point data
Map Reduce program to suggest new friends based on count of mutual friends
Lab assignments for the Analysis of Massive Data Sets course @ FER, University of Zagreb
Building a Bloom Filter on English dictionary words
TF-Package: Multiple-Input Multiple-Output Keras Data-Generator for massive and complex datasets
Building node2vec algorithm
📺 Content Recommendation System for the Netflix Prize Challenge with Collaborative Filtering.
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