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Hadoop 2 0

Track :

Programming

Lessons no : 24

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What will you learn in this course?
  • Master how to set up and configure Hadoop 2.0 clusters for scalable data storage and processing
  • Implement Hadoop 2.0 MapReduce jobs to analyze large datasets efficiently and accurately
  • Utilize Hadoop Distributed File System (HDFS) for reliable, fault-tolerant data storage and management
  • Optimize Hadoop 2.0 performance through tuning, resource management, and cluster monitoring techniques
  • Develop data ingestion pipelines using Hadoop ecosystem tools like Sqoop and Flume for big data integration
  • Apply Hadoop security best practices including authentication, authorization, and data encryption
  • Design and deploy Hadoop workflows for real-world big data analytics and business intelligence projects
  • Troubleshoot common Hadoop 2.0 issues related to cluster performance, data integrity, and job failures
  • Integrate Hadoop 2.0 with other big data tools such as Hive, Pig, and Spark for comprehensive data processing solutions
  • Evaluate Hadoop 2.0 architecture and components to plan scalable, cost-effective big data solutions

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Lessons | 24


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Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage .