By completing this course, learners will be able to identify Big Data challenges, explain Hadoop’s architecture, configure HDFS for distributed storage, execute MapReduce programs, and apply advanced cluster management techniques. Participants will also develop the ability to validate system health, implement fault tolerance, and integrate Java applications with Hadoop for real-world use cases.
Hadoop: Analyze, Configure & Manage Big Data
Saving 40% on access to 10,000+ programs is a holiday treat. Save now.
Hadoop: Analyze, Configure & Manage Big Data
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.
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Configure and manage HDFS for distributed data storage.
Execute and optimize MapReduce jobs for large datasets.
Implement fault tolerance and monitor Hadoop cluster health.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
November 2025
Assessments
29 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
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 6 modules in this course
This module introduces learners to the fundamentals of Big Data and the Hadoop ecosystem. It covers the challenges posed by massive datasets, explains the flow of data through HDFS write and read processes, and demonstrates MapReduce basics with the Word Count example to establish a solid foundation.
What's included
14 videos5 assignments
This module dives deeper into Hadoop fundamentals by connecting Big Data concepts to practical scenarios. Learners explore the MapReduce model, gain familiarity with the Cloudera distribution, and use interfaces like HDFS Web UI, HUE, and shell commands for hands-on understanding.
What's included
12 videos5 assignments
This module emphasizes hands-on management of HDFS and integrates Java for real-world applications. Learners practice advanced shell operations, understand the responsibilities of Hadoop administrators, and explore critical HDFS components like FS Image and Secondary NameNode.
What's included
8 videos4 assignments
This module focuses on Hadoop architecture and system setup. It guides learners through HDFS architecture, block placement policy, installation processes, and critical cluster configuration steps such as hostnames, gateways, SSH, and password-less authentication.
What's included
14 videos5 assignments
This module builds expertise in managing Hadoop clusters through detailed configuration tasks. It covers Hadoop’s core files, slave file setup, rack awareness, DFS admin tools, and essential commands for executing and managing MapReduce jobs.
What's included
13 videos5 assignments
This module equips learners with advanced operational skills for managing and maintaining Hadoop clusters. It covers HDFS file operations, checkpointing, safe and maintenance modes, DataNode commissioning, validation, and storage planning considerations.
What's included
13 videos5 assignments
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Explore more from Data Analysis
Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
Status: Free Trial
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,