GalaxySQL 是 PolarDB-X 的计算节点。PolarDB-X 是一款面向超高并发、海量存储、复杂查询场景设计的云原生分布式数据库系统。其采用 Shared-nothing 与存储计算分离架构，支持水平扩展、分布式事务、混合负载等能力，具备企业级、云原生、高可用、高度兼容 MySQL 系统及生态等特点。
#计算机科学#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.
Command line tool to quickly generate a lot of files in a lot of directories
#计算机科学#Building a Bloom Filter on English dictionary words
#计算机科学#The project is based on the analysis of the "IBM Transactions for Anti Money Laundering" dataset published on Kaggle. The task is to implement a model which predicts whether or not a transaction is il...
#算法刷题#This repository contains a LaTeX file that generates a PDF document comprising comprehensive notes for the course "Algorithms for Massive Datasets"
gipa -- compression/decompression tool to package compress and encode massive archive files with floating-point data
#计算机科学#Building PageRank algorithm on Web Graph around Stanford.edu using NetworkX python library
TF-Package: Multiple-Input Multiple-Output Keras Data-Generator for massive and complex datasets
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 ...
Series of SQL exercise working with databases, using Google BigQuery to scale to massive datasets taught by educators in Kaggle.com
#计算机科学#Building node2vec algorithm
📺 Content Recommendation System for the Netflix Prize Challenge with Collaborative Filtering.
Calculate statistical measures of one column in big data Datasets with these simply Hadoop Application
word count in Spark
Training the MASSIVE dataset by Amazon(english-US, German-DE and Swahili-KE)
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
