By the end of this course, learners will be able to analyze Hadoop’s data processing model, design custom MapReduce jobs, implement combiners and partitioners, build advanced applications with Pig and Java, parse weblogs, create inverted indexes, and deploy projects on Cloudera Local Host. Through a structured progression from foundational concepts to advanced analytics and real-world projects, learners will gain both theoretical knowledge and hands-on expertise.
MapReduce with Hadoop: Analyze, Design & Deploy
MapReduce with Hadoop: Analyze, Design & Deploy
This course is part of Hadoop & Big Data Foundations Mastery Course Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Develop and optimize custom MapReduce programs in Hadoop.
Build and analyze data workflows using Pig and Java APIs.
Deploy and manage real-world projects on Cloudera clusters.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
November 2025
Assessments
20 assignments
Taught in English
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This course is part of the Hadoop & Big Data Foundations Mastery Course Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 5 modules in this course
This module introduces learners to the essential building blocks of Hadoop and MapReduce. It covers sorting mechanisms, the importance of composite keys, partitioning, core Hadoop commands, and the use of combiners. Learners will also see how real-world datasets are integrated into MapReduce projects.
What's included
15 videos4 assignments
This module focuses on real-world applications of MapReduce with emphasis on movie rating analysis and user-based aggregations. It also introduces YARN resource management and NodeManager functionality, followed by practical demonstrations of running MapReduce jobs.
What's included
11 videos4 assignments
This module deepens understanding of advanced MapReduce operations. Learners explore extended Word Count applications, log processors, and integration with Pig for high-level scripting. The module also introduces Java class customization and inverted indexing for search applications.
What's included
11 videos4 assignments
This module introduces learners to different Hadoop data formats and their importance. It covers SequenceFiles for key-value storage, weblog parsing, analytics programs, and indexing methods. Learners will also understand social graph analysis using MapReduce.
What's included
9 videos4 assignments
This module brings together all concepts through deployment and project execution. Learners will practice on Cloudera local host, run final projects, and strengthen skills through examples and practice programs that mirror real-world scenarios.
What's included
7 videos4 assignments
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