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Hadoop Projects: Analyze Big Data with Hive & Pig

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Hadoop Projects: Analyze Big Data with Hive & Pig

This course is part of Hadoop Big Data Analytics & Projects Mastery Specialization

Instructor: EDUCBA

Included with

Learn more

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

Implement HDFS, Hive, Pig, and MapReduce for data projects.
Process real datasets to extract business insights.
Integrate Hadoop workflows with Sqoop and SQL databases.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

20 assignments

Taught in English

91%

of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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Build your subject-matter expertise

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.

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 design, implement, and analyze real-world Big Data projects using Hadoop’s core components — HDFS, Hive, Pig, and MapReduce. They will apply data processing techniques to customer complaints, health surveys, traffic violations, and loan datasets to extract valuable business insights.

This hands-on, project-based course guides learners through every stage of Big Data analysis — from importing and transforming data to executing distributed computations and exporting results to relational databases. Learners will master essential Hadoop workflows such as writing MapReduce programs, developing Hive queries, integrating Pig scripts, and using Sqoop for seamless SQL data transfer. What makes this course unique is its real-world project orientation that combines four complete Hadoop case studies into one comprehensive learning experience. Each module provides step-by-step implementation practice to build confidence and technical proficiency. Upon completion, learners will be equipped to manage large datasets, optimize performance, and apply Hadoop-based solutions in enterprise environments.