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This tutorial on Introduction to Hadoop will help you learn the basics of Hadoop and its components. First, you will see what is Big Data and the significant challenges in it. Then, you will understand how Hadoop solved those challenges. You will have a glance at the History of Hadoop, what is Hadoop, the different companies using Hadoop, the applications of Hadoop in different companies, etc. Finally, you will learn the three essential components of Hadoop – HDFS, MapReduce, and YARN, along with their architecture. Now, let us get started with Introduction to Hadoop.
Below topics are explained in this Hadoop tutorial:
1. Big Data and its challenges (00:30)
2. Hadoop as a solution (01:57)
3. History of Hadoop (02:53)
4. What is Hadoop (05:11)
5. Applications of Hadoop (09:47)
6. Components of Hadoop (11:22)
7. Hadoop Distributed File System (12:27)
8. Hadoop MapReduce (16:19)
9. Hadoop YARN (20:43)
Watch more videos on Hadoop training: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ
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➡️ About Data Science Course in collaboration with IBM
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.
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