Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly.

We’ll start with the most far-reaching addition, which the spec describes as “a new Iterator global with associated static and prototype methods for working with iterators.” The most exciting part of ...

Inflammation has a bad rap, both as an agent of pain and a risk factor for chronic illnesses like heart disease, type 2 diabetes, and cancer. Even the word itself sounds like something is going up in ...

This project implements a simple MapReduce algorithm in Rust. It reads a set of strings and counts the occurrences of each word, demonstrating basic parallel processing using threads.

In server-side JavaScript, you will most likely use the fs library for dealing with the filesystem. This library is a module in Node and other platforms like Bun. So you don’t need to install it using ...

Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide ...

Visual Studio Code is a code editor that is completely free and open-source. It has been developed by Microsoft and is highly regarded by developers due to its lightweight, fast, and extensible design ...

Abstract: Among the current technologies to analyse large data, the MapReduce processing model stands out in Big Data. MapReduce is implemented in frameworks such as Hadoop, Spark or Flink that are ...

Abstract: MapReduce is a distributed computing paradigm widely used for building large-scale data processing applications. When used in cloud environments, MapReduce clusters are dynamically created ...