Hadoop Components Explained in 10 Minutes | HDFS, MapReduce, YARN | Big Data Tutorial |

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In this video, we explain Hadoop in the simplest way. Hadoop is an open-source Big Data framework used for distributed storage and parallel processing.
You will learn all key Hadoop components: HDFS, MapReduce, YARN, and Hadoop Common with real-life examples.
This video is perfect for students preparing for Big Data, Hadoop, CNS, Data Engineering, and university exams.

🔹 What You Will Learn:
• What is Hadoop?
• Hadoop Architecture Explained
• HDFS (Hadoop Distributed File System)
• MapReduce (Parallel Processing Model)
• YARN (Resource Manager)
• Hadoop Common
• How Hadoop Works in Big Data

🔹 Best For:
BCA, BTech, MCA, CS/IT, Big Data Beginners, Data Analyst Students.

🔹 Keywords Covered:
Hadoop, Big Data Hadoop, HDFS, MapReduce, YARN, Hadoop Architecture, Hadoop Tutorial in Hindi, Hadoop for beginners.

⏱️ Timestamps:
00:00 – Intro
00:30 – What is Hadoop?
01:20 – Hadoop Architecture
02:15 – HDFS Explained
03:30 – MapReduce Explained
05:40 – YARN Explained
07:00 – Hadoop Common
08:00 – Summary

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