GitHub

JeroZp/MapReduce-Python-ClusterEMR

Proyecto de procesamiento distribuido que analiza datos meteorológicos de Medellín (2023-2024) usando MapReduce en Hadoop. Calcula temperatura promedio y precipitación total por mes.
IEEE

Benchmarking Fault Tolerance in Hadoop MapReduce with Enhanced Data Replication

Abstract: In distributed file systems (DFS), ensuring fault tolerance is critical for maintaining system robustness and reliability. This research focuses on evaluating fault-tolerant mechanisms in ...
CoinTelegraph

Developing smart contracts is as easy as coding in Python on this platform

Hathor, a layer-1 blockchain, introduces Nano Contracts, a smart contract platform with built-in MEV and front-running protection. The introduction of decentralized applications (DApps) opened up new ...
GitHub

hadoop-mapreduce

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame ...
IEEE

Hybrid Short-Term Load Forecasting using the Hadoop MapReduce Framework

Abstract: With the wide deployment of communication networks and advanced metering infrastructures (AMI) in smart grids, data from the electric demand side is growing exponentially and becomes more ...
insideHPC

Enabling Real-Time Analytics Using Hadoop Map/Reduce

In this slidecast, Wiliam Bain and David Brinker from ScaleOut Software present: Enabling Real-Time Analytics Using Hadoop Map/Reduce. Welcome to real-time analytics for Hadoop! ScaleOut hServer V2 is ...