Mastering Hadoop, Part 2: Getting Hands-On — Setting Up and Scaling Hadoop

Author(s): Niklas Lang

Originally published on Towards AI.

Understanding Hadoop’s core components before installation and scaling

Now that we’ve explored Hadoop’s role and relevance, it’s time to show you how it works under the hood and how you can start working with it. To start, we are breaking down Hadoop’s core components — HDFS for storage, MapReduce for processing, YARN for resource management, and more. Then, we’ll guide you through installing Hadoop (both locally and in the cloud) and introduce some essential commands to help you navigate and operate your first Hadoop environment.

The article explores the fundamentals of Hadoop, detailing its core components like HDFS, MapReduce, and YARN, and providing guidance on how to install and configure Hadoop in various environments. It covers both local and distributed installations, the management of Hadoop resources, and touches on essential commands for beginners. As the article progresses, it highlights the importance of understanding Hadoop for efficient big data processing, along with insights on extending its capabilities through tools like Apache Spark and HBase.

Read the full blog for free on Medium.

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Published via Towards AI