MapReduce with Hadoop: Analyze, Design & Deploy

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MapReduce with Hadoop: Analyze, Design & Deploy

This course is part of Hadoop & Big Data Foundations Mastery Course Specialization

Instructor: EDUCBA

Included with

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5 modules

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

5 modules

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

Tools you'll learn

Apache Hadoop

Details to know

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Build your subject-matter expertise

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.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

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.

This course stands out by combining step-by-step demonstrations, real-world datasets, and final capstone projects that mirror industry use cases. Learners won’t just memorize commands—they will apply MapReduce for rating analysis, log processing, indexing, and social graph computation, building skills that scale from testing in local mode to deploying on production clusters. The integration of practice programs and examples ensures continuous reinforcement of concepts, making the learning process engaging and practical. Whether you are a beginner seeking a solid foundation or an intermediate learner aiming to expand into advanced MapReduce programming, this course equips you to confidently design, execute, and optimize distributed data processing solutions in the Hadoop ecosystem.

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

15 videos Total 115 minutes

Secondary Sort Hadoop 9 minutes
Creating Composite Key 8 minutes
Continue on Composite Key 9 minutes
Word Count Group 7 minutes
Importance of Partition 11 minutes
Hadoop FS - LS 5 minutes
Joins in Hadoop 7 minutes
Creating Configuration Object 6 minutes
Setup Method 7 minutes
Map Side Join Mapper 8 minutes
Hadoop Commands 7 minutes
Combiner in Hadoop 6 minutes
Continue on Combiner in Hadoop 9 minutes
Uploading Combiner Jar 4 minutes
Introduction to Real World 10 minutes

4 assignments Total 60 minutes

Sorting, Keys, and Word Count Basics 10 minutes
Hadoop Commands and Setup 10 minutes
Combiners and Real-World Introduction 10 minutes
Foundations of Hadoop and MapReduce 30 minutes

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

11 videos Total 97 minutes

Ratings Mapper 7 minutes
Movie and Ratings Runner 9 minutes
Movie and Rating Calc Jar 4 minutes
Total Ratings By A User 8 minutes
User Rating Reducer 11 minutes
User Rating Class 5 minutes
Yarn Basic Tutorial 10 minutes
Node Manager 10 minutes
Running a MapReduce Program 11 minutes
Running a MapReduce Program Continues 11 minutes
HDFS File System 10 minutes

4 assignments Total 60 minutes

Movie Ratings and User Analysis 10 minutes
Yarn and Node Management 10 minutes
Running MapReduce Programs 10 minutes
Practical MapReduce Applications 30 minutes

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

11 videos Total 116 minutes

Combination of Word Count Functionality 9 minutes
Word Count With Tools 10 minutes
Log Processor 11 minutes
Advanced MapReduce and PIG 10 minutes
More on Advanced MapReduce 9 minutes
Executing Similar Program 8 minutes
HDI Data and Export Data 13 minutes
Creating New Java Class 12 minutes
Text Out Inverted Indexer 13 minutes
Introduction to MapReduce on Hadoop 10 minutes
Java Build Path 10 minutes

4 assignments Total 60 minutes

Word Count and Processing Extensions 10 minutes
Advanced MapReduce with Pig and Similar Programs 10 minutes
Java Integration and Inverted Indexing 10 minutes
Advanced MapReduce Concepts 30 minutes

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

9 videos Total 85 minutes

Local MapReduce 4 minutes
Using MapReduce 9 minutes
Sequence file Format 11 minutes
Parse Weblogs 11 minutes
Page View Mapper 9 minutes
Analytics Program 9 minutes
Analytics Program Continue 12 minutes
Inverted Index Map Reduce 11 minutes
Friend Sofa Friend 8 minutes

4 assignments Total 60 minutes

Local MapReduce and Sequence Files 10 minutes
Weblog Parsing and Analytics 10 minutes
Indexing and Social Graph Programs 10 minutes
Data Formats, Analytics, and Indexing 30 minutes

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

7 videos Total 66 minutes

Cloud era Local Host 7 minutes
Cloud era Local Host Output 11 minutes
Final Module MapReduce Program 11 minutes
Strands 9 minutes
File Path Filter 9 minutes
Example 9 minutes
Example Continue 10 minutes

4 assignments Total 60 minutes

CloudEra Local Host Operations 10 minutes
Final Project and Program Execution 10 minutes
Examples and Practice Programs 10 minutes
Deployment, Cloud, and Final Projects 30 minutes

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Instructor

EDUCBA

1,032 Courses 228,900 learners

Offered by

EDUCBA

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