Author: Niklas Lang
Originally published in the direction of artificial intelligence.
A comprehensive guide covering the Hadoop configuration, HDFS commands, Mapreduce, debugging, advantages, challenges and the future of Big Data technology.
Nowadays, a large number of data is collected on the internet, which is why companies are facing the challenge, which is the efficient storage and analysis of these volumes. Hadoop is an open source frame from Apache Software Foundation and has become one of the leading management technologies for large data in recent years. The system enables dispersed storage and processing of data on many servers. As a result, it offers a scalable solution for a wide range of application, from data analysis to machine learning.
This article contains a comprehensive review of Hadoopa and its components. We also study basic architecture and present practical tips on how to start with it.
Before we can start with it, we must mention that the whole topic of Hadoop is huge and although this article is already long, it is not even close to passing too many details on all topics. That is why we divided it into three parts: so that you can decide how deeply you want to immerse yourself:
Part 1: Hadoop 101: What is it, why does it matter and who should worry about it
This part is a big part for everyone … Read the full blog for free on the medium.
Published via AI
