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
Skills you'll gain
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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