Big Data Analytics with Hadoop
About Course
Overview
The Big Data Analytics with Hadoop training program is designed to help learners and professionals gain expertise in managing, processing, and analyzing large-scale datasets using the Hadoop ecosystem. With the exponential growth of digital data, organizations across industries rely on Hadoop to handle big data challenges and derive actionable insights.
This course provides hands-on experience in HDFS, MapReduce, Hive, Pig, HBase, and other Hadoop ecosystem tools. By the end of the program, you will be able to implement big data solutions for business intelligence, data analysis, and predictive modeling.
Course Details
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Duration: 6–10 weeks (depending on learning pace)
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Mode: Online / Classroom / Blended
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Prerequisites:
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Basic knowledge of programming (Java, Python, or Scala preferred)
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Understanding of SQL and database concepts
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Familiarity with Linux commands is helpful
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Course Content
Module 1: Introduction to Big Data and Hadoop
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What is Big Data? Characteristics and challenges
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Role of Hadoop in big data analytics
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Hadoop ecosystem components overview
Module 2: Hadoop Distributed File System (HDFS)
Module 3: MapReduce Framework
Module 4: Hive and Pig for Big Data Processing
Module 5: NoSQL with HBase
Module 6: Hadoop Ecosystem Tools
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