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Big Data and Hadoop

$10

Courses Included
Category:

Description

  • Introduction to Big Data: Understanding the concepts, challenges, and opportunities in big data.
  • Hadoop Ecosystem Overview: Components of Hadoop including HDFS, MapReduce, YARN, and Hadoop Common.
  • Data Storage with HDFS: Managing and storing large datasets using Hadoop Distributed File System.
  • Data Processing with MapReduce: Writing, debugging, and optimizing MapReduce jobs for distributed data processing.
  • Advanced Hadoop Tools: Exploring additional tools like Hive, Pig, and HBase for data querying and management.
  • Hands-on Labs: Implementing big data solutions and processing workflows using Hadoop and its ecosystem tools.

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