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Apache Hadoop for Big Data Processing & Distributed Systems

Course Description

This course is designed for data professionals who want to master Hadoop for large-scale data processing and distributed system architecture. You will learn how to store, manage, and process massive datasets across distributed clusters using core Hadoop components. The program covers HDFS architecture, MapReduce processing, YARN resource management, cluster design principles, and performance optimization strategies used in enterprise big data environments. Strong emphasis is placed on scalability, fault tolerance, and real-world data engineering workflows. By the end of this course, you will confidently design and manage distributed data systems capable of handling high-volume, high-velocity datasets using Hadoop.

Course Curriculum

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Ankur Agarwal

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This Course Fee:

Free

Course includes:
  • img Level
      Beginner Intermediate Expert
  • img Duration 0h 50m
  • img Lessons 0
  • img Quizzes 0
  • img Certifications Yes
  • img Language
      English
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