By the end of this course, learners will be able to analyze, transform, and optimize large-scale datasets using Hadoop’s distributed ecosystem. They will gain hands-on experience with MapReduce, Pig, and Hive across multiple real-world projects, including log processing, sales analytics, tourism survey insights, faculty data management, e-commerce performance, and salary analysis.
Hadoop Projects: Analyze & Optimize Big Data
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Hadoop Projects: Analyze & Optimize Big Data
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.
9 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Process and optimize large datasets using Hadoop tools.
Apply MapReduce, Pig, and Hive in real-world data projects.
Build scalable data workflows for analytics and reporting.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
November 2025
Assessments
16 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.
- 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 4 modules in this course
This module introduces learners to the core principles of Hadoop-based data processing through log and sales data projects. Learners will explore how to clean, process, and analyze streaming log files using MapReduce, Pig, and Hive. The module builds essential technical foundations in distributed file handling and practical data management workflows, setting the stage for advanced Hadoop applications.
What's included
13 videos4 assignments
This module advances learners’ analytical and problem-solving skills through real-world sales and tourism survey projects. By leveraging Hadoop’s distributed ecosystem, learners will gain hands-on experience using MapReduce, Hive, and Pig to aggregate, join, and filter multi-source datasets for business intelligence and demographic insights.
What's included
10 videos4 assignments
This module focuses on educational and faculty data management projects using Hadoop’s distributed storage and processing tools. Learners will master schema design, data transformation, and optimization in Hive and Pig while enhancing database management efficiency through structural modifications and automation.
What's included
7 videos4 assignments
The final module integrates real-world Hadoop use cases in e-commerce and employee salary analytics. Learners will apply distributed querying, filtering, and aggregation techniques to gain actionable insights from diverse data sources. The module emphasizes end-to-end analysis and reporting within Hadoop’s scalable architecture.
What's included
10 videos4 assignments
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