Abstract: The execution of MapReduce (MR) applications in Hadoop cluster poses significant challenges due to the non consideration of 1. Grouping semantics in Data-intensive applications, 2.
Automating Incident Response: How to Reduce Malware Forensics Time by 99% with Python and VirusTotal
Dippu is a strategic Data & Analytics leader and thought leader in emerging solutions, including Computer Vision and Generative AI/LLMs. Dippu is a strategic Data & Analytics leader and thought leader ...
Proyecto de procesamiento distribuido que analiza datos meteorológicos de Medellín (2023-2024) usando MapReduce en Hadoop. Calcula temperatura promedio y precipitación total por mes.
This project implements a pipeline for ingesting images, performing real-time object detection, storing raw metadata, aggregating results using Hadoop MapReduce, indexing the aggregated data into ...
Abstract: The big data computing era is coming to be a fact in all daily life. As data-intensive become a reality in many of scientific branches, finding an efficient strategy for massive data ...
MapReduce developers face a steep learning curve when first deploying and configuring a Hadoop cluster and later when verifying program correctness. Compounded by long execution times (measured in ...
Reporting and analysis drives businesses in making the best possible decisions. The source of all these decisions is the data. There are two types of data: structured and unstructured. Most recently, ...
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