Big Data Processing Using Hadoop Specialization

Master Big Data Processing with Hadoop. Gain hands-on experience with Hadoop tools and techniques to efficiently process, analyze, and manage big data in real-world applications.

Instructor: Karthik Shyamsunder

What you'll learn

  •   Gain expertise in Hadoop ecosystem components like HDFS, YARN, and MapReduce for big data processing and management across various tasks.
  •   Learn to set up, configure, and utilize tools like Hive, Pig, HBase, and Spark for efficient data analysis, processing, and real-time management.
  •   Develop advanced programming techniques for MapReduce, optimization methods, and parallelism strategies to handle large-scale data sets effectively.
  •   Understand the architecture and functionality of Hadoop and its components, applying them to solve complex data challenges in real-world scenarios.
  • Skills you'll gain

  •   Data Transformation
  •   Data Science
  •   Query Languages
  •   NoSQL
  •   Apache Hive
  •   Data Processing
  •   File Systems
  •   Data Management
  •   Distributed Computing
  •   Apache Spark
  •   Big Data
  •   SQL
  • Specialization - 4 course series

    The specialization “Big Data Processing Using Hadoop” equips postgraduate students with in-depth knowledge of big data technologies through self-reflective readings and theoretical exploration. Covering essential tools like HDFS, MapReduce, Hive, Pig, HBase, and Apache Spark, the program delves into concepts such as YARN architecture, query optimization, NoSQL data management, and high-performance computing. Learners will critically analyze the implementation of these technologies, reflecting on their applications in solving real-world big data challenges. By the end of the program, students will be prepared for roles like Data Engineer, Big Data Analyst, or Hadoop Developer, driving innovations in data science and analytics.

    HDFS Architecture and Programming

    YARN MapReduce Architecture and Advanced Programming

    Data Analysis Using Hadoop Tools

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