Binal Weerasenabinalweerasena.hashnode.dev·Jan 19, 2024Map Reduce: Framework for Big DataThe Problem with Data Storage and Analysis In a previous article, we discussed What is Big Data? and how big data actually can be. With the 3V's concept, we understood the key parameters of big data which is the volume, velocity, and variety. The hug...Discuss·1 likebig data
Pratyushatechnodiary.hashnode.dev·Dec 23, 2023Exploring MapReduce: A Crucial Element in Distributed ComputingMapReduce stands out as a Java-based program model and processing technique designed for distributed computing. It is a fundamental component of the Hadoop framework, along with Hadoop File System (HDFS) and YARN. Its potency lies in processing exten...DiscussCloud Focused Big Data Seriesmapreduce
Arnab Senarnabsen.dev·Sep 30, 2023Understanding MapReduceMapReduce is a programming paradigm that helps us perform large-scale computation across computing clusters. DISCLAIMER: In this blog, I will take a very simple overview of this topic. If this blog actually spikes your interest and you want to delve...Discuss·34 likes·316 readsTutorial
Anuj Kumarvandata04.hashnode.dev·Jul 6, 2023Hadoop Architecture (Part 1)Introduction Hadoop, an open-source distributed computing framework, has revolutionized the way we handle big data in the digital age. Developed by the Apache Software Foundation, Hadoop provides an efficient and scalable solution for processing and ...Discuss·28 readsbig data
Pulkit Govranipulkitgovrani.hashnode.dev·May 26, 2023Discussion on map, filter and reduce methods in Javascript.Interview Question: If you can guess the output of the below code successfully then you can skip this blog :) Code: let input_array=[1,6,3,7,9,2]; let updated_array=input_array.map((element)=>{ return element<4; }) console.log(updated_array); If...Discuss·2 likes·33 readsJavaScript
Ayush Jainayushj.hashnode.dev·May 23, 2023Understanding the Differences Between map(), filter(), and reduce() Methods in JavaScriptWhen working with arrays in JavaScript, you'll often come across scenarios where you need to manipulate or transform array data. JavaScript provides three powerful array methods—map(), filter(), and reduce()—that help you accomplish these tasks effic...Discuss·135 readsJavaScript
Renjitha Krenjithak.hashnode.dev·Mar 30, 2023Demystifying Big Data Analytics with Apache Spark : Part-1Posted by Renjitha K in Renjitha K's Blog on Mar 25, 2023 2:27:13 PM As the amount of data generated by individuals and businesses continue to grow exponentially, the need for technologies like Apache Spark that can process and analyze large dataset...Discuss·2 likes·123 readsspark
Renjitha Krenjithak.hashnode.dev·Mar 27, 2023Understanding MapReduce: A Beginners GuideMost of us have been hearing the term MapReduce for a long while now, I have been wondering what this term means, Let's try to understand the basics of the same. So, MapReduce is a powerful programming model and software framework for processing larg...Discuss·194 readsBigData
Rishabh Bassirishabhbassi.hashnode.dev·Feb 19, 2023Parallel Computing Decision FactorsParallel computing is the use of multiple processors or computers to solve a computational problem simultaneously. The technique has become increasingly popular as a means of accelerating the performance of computationally intensive tasks, such as si...Discuss·1 like·31 reads#parallel computing
padmanabha reddypadmanabha.hashnode.dev·Jan 8, 2023Distributed computing framework - MapReduceWhat is MapReduce? MapReduce is a software framework for processing large data sets that are distributed over several machines. MapReduce facilitates concurrent processing by splitting petabytes of data into smaller chunks and processing them in para...Discuss·36 readsmapreduce