By the end of this course, learners will be able to prepare raw YouTube datasets, apply MapReduce for large-scale processing, implement Pig Latin scripts for metadata analysis, and execute HiveQL queries to generate structured insights. The course blends practical scenarios with hands-on tools from the Hadoop ecosystem, empowering learners to analyze real-world data efficiently.
Hadoop Projects: Apply MapReduce, Pig & Hive
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Hadoop Projects: Apply MapReduce, Pig & Hive
This course is part of Hadoop Big Data Analytics & Projects Mastery Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Process large YouTube datasets using MapReduce, Pig, and Hive.
Apply Pig Latin and HiveQL for metadata and insight analysis.
Design end-to-end Big Data workflows for real-world projects.
Skills you'll gain
Details to know
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Recently updated!
November 2025
Assessments
9 assignments
Taught in English
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This course is part of the Hadoop Big Data Analytics & Projects Mastery Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
This module introduces learners to the fundamentals of Hadoop and MapReduce by exploring YouTube data analysis scenarios. It covers data preparation, Big Data basics, and the use of MapReduce to process large-scale datasets. Learners will gain hands-on insights into building analyzers that identify key patterns, high-rated videos, and structured outputs.
What's included
10 videos3 assignments
This module explores Apache Pig as a high-level tool for simplifying data transformations in Hadoop. Learners will understand Pig Latin scripting, its commands, and how to use Pig for analyzing YouTube metadata. Practical examples will demonstrate how Pig outputs structured insights from large datasets.
What's included
5 videos3 assignments
This module covers Apache Hive and its SQL-like language HiveQL for large-scale YouTube data analysis. Learners will practice creating tables, running Hive queries, and generating aggregated insights such as top-rated or most-viewed videos. The module concludes with a summary of integrating Hadoop, MapReduce, Pig, and Hive for scalable data analytics.
What's included
6 videos3 assignments
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