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Introduction to Hadoop Ecosystem

Track :

Programming

Lessons no : 20

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What will you learn in this course?
  • Master how to set up and configure Hadoop ecosystem components like HDFS, MapReduce, YARN, and Hadoop Common for big data processing
  • Analyze big data using Hadoop's distributed storage and processing capabilities with practical implementation skills
  • Implement data ingestion, storage, and retrieval techniques within Hadoop ecosystem for scalable data management
  • Optimize Hadoop cluster performance and troubleshoot common issues in big data environments
  • Integrate Hadoop with other big data tools and frameworks for comprehensive data analysis solutions
  • Apply security best practices to protect data within Hadoop ecosystem environments
  • Design and develop efficient MapReduce programs for large-scale data processing tasks
  • Utilize Hadoop ecosystem tools to solve real-world big data challenges in various industry sectors

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Lessons | 20


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Introduction: Hadoop Ecosystem is a platform or a suite which provides various services to solve the big data problems. It includes Apache projects and various commercial tools and solutions. There are four major elements of Hadoop i.e. HDFS, MapReduce, YARN, and Hadoop Common .