Mastering Hadoop, Part 1: Installation, Configuration, and Modern Big Data Strategies

Author(s): Niklas Lang

Originally published on Towards AI.

A comprehensive guide covering Hadoop setup, HDFS commands, MapReduce, debugging, advantages, challenges, and the future of big data technologies.Photo by Nam Anh on Unsplash

Nowadays, a large amount of data is collected on the internet, which is why companies are faced with the challenge of being able to store, process, and analyze these volumes efficiently. Hadoop is an open-source framework from the Apache Software Foundation and has become one of the leading Big Data management technologies in recent years. The system enables the distributed storage and processing of data across multiple servers. As a result, it offers a scalable solution for a wide range of applications from data analysis to machine learning.

This article provides a comprehensive overview of Hadoop and its components. We also examine the underlying architecture and provide practical tips for getting started with it.

Before we can start with it, we need to mention that the whole topic of Hadoop is huge, and even though this article is already long, it is not even close to going into too much detail on all topics. This is why we split it into three parts: To let you decide for yourself how deep you want to dive into it:

Part 1: Hadoop 101: What it is, why it matters, and who should care

This part is for everyone interested in Big… Read the full blog for free on Medium.

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Published via Towards AI