OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.
Course Discontinued We've found some alternatives for you:

Top Active Alternatives

Hadoop Quick Start is no longer accepting new enrollments. We've matched the highest-rated active courses in this subject:

Coursera ★ 4.7
Introduction to Data Engineering
By IBM Skills Network
Read Reviews → Enroll Active
Read Reviews → Enroll Active
Read Reviews → Enroll Active
Pluralsight logo

Hadoop Quick Start

A Cloud Guru

Hadoop has become a staple technology in the big data industry by enabling the storage and analysis of datasets so big that it would be impossible with traditional data systems. In this course, we are going to jump right into deploying Hadoop, configuring HDFS, and executing MapReduce jobs. Lastly, you will get to try it all out yourself with a guided hands-on learning activity. So let's get started!

This course is no longer available. Find something similar by browsing:
Hadoop HDFS MapReduce Big Data Data Analysis Distributed Computing Cloud Computing

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Gets right into Hadoop deployment, HDFS configuration, and MapReduce execution
Incorporates a guided hands-on learning activity
Designed for beginners looking to jumpstart their Hadoop journey
Taught by A Cloud Guru instructors, recognized for their expertise in cloud computing

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Practical hadoop fundamentals for beginners

According to students, this course offers a largely positive and practical introduction to Hadoop, proving particularly effective for beginners. Learners consistently praise its hands-on activities and clear demonstrations, which facilitate quick deployment of Hadoop and execution of MapReduce jobs. While it successfully serves as a quick start, some reviewers noted a lack of in-depth coverage for advanced topics or comprehensive troubleshooting, suggesting it's best utilized as a foundational course. The instructor's clarity is also frequently highlighted as a strength.
Earlier reviews noted concerns about content staying current.
"Outdated content regarding specific version features. The instructor seemed knowledgeable, but the course needs an update."
Basic Linux or command line experience aids understanding.
"The instructor explains concepts clearly, though a basic understanding of Linux helps."
"The course assumes a lot of prior knowledge of command line."
"It's helpful if you already have some familiarity with command-line operations."
Provides a solid base but limited advanced topics.
"Good for a quick start. I wish there was a bit more depth on advanced configurations or troubleshooting common issues."
"Don't expect to be an expert, but you'll get a solid foundation."
"Found the content a bit too superficial for my needs... if you're looking for deep dives into optimization or architecture, look elsewhere."
Practical exercises and demos are highly effective.
"The labs were particularly helpful."
"The demos were very clear and easy to follow. I appreciated the practical application focus."
"The lab environment was well-prepared, making the hands-on part smooth."
Effectively launches beginners into Hadoop deployment.
"Excellent hands-on approach. I was able to deploy Hadoop and run MapReduce jobs very quickly."
"Perfect for absolute beginners to Hadoop. It demystifies the setup process and provides practical steps."
"The practical exercises were invaluable. This course delivered exactly what it promised: a quick, hands-on start."
Some learners experienced difficulties with initial setup.
"Setup was a nightmare on my specific OS version. The course assumes a lot of prior knowledge of command line."
"Content is okay, but troubleshooting is limited."
"Some dependencies were tricky, but that's typical with these technologies."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Hadoop Quick Start with these activities:
Compile Course Materials
Begin by gathering all course materials, including lecture notes, assignments, quizzes, and exams.
Show steps
  • Gather all lecture notes and handouts
  • Organize notes chronologically
  • Review notes for clarity and understanding
Review Hadoop: The Definitive Guide
Expand your understanding of Hadoop by reading a comprehensive reference book.
View Hadoop: The Definitive Guide: Storage and... on Amazon
Show steps
  • Read the book from cover to cover
  • Summarize key concepts and make notes
  • Review the bookperiodically to reinforce your learning
Join a Hadoop Study Group
Engage with fellow learners by joining a study group to discuss concepts, share knowledge, and work on assignments together.
Show steps
  • Find or create a study group with other Hadoop students
  • Establish regular meeting times and communication channels
  • Collaborate on assignments and projects
  • Host discussions and presentations on key Hadoop topics
Three other activities
Expand to see all activities and additional details
Show all six activities
Attend a Hadoop Workshop
Immerse yourself in a hands-on workshop led by industry experts to enhance your Hadoop skills.
Show steps
  • Identify and register for a Hadoop workshop
  • Attend the workshop and actively participate in discussions and exercises
  • Follow up with the workshop organizers or instructors for further support
Participate in a Hadoop Hackathon
Challenge yourself and showcase your Hadoop skills by participating in a hackathon.
Show steps
  • Identify and register for a Hadoop hackathon
  • Form a team or collaborate with others
  • Design and implement a creative solution to a Hadoop-related challenge
  • Present your project to a panel of judges
Develop a Hadoop-Based Application
Apply your Hadoop knowledge to create a practical application that demonstrates your skills.
Browse courses on Big Data Analytics
Show steps
  • Identify a real-world problem that can be solved using Hadoop
  • Design and implement a Hadoop-based solution
  • Test and deploy your application
  • Document your project and share it with others

Career center

Learners who complete Hadoop Quick Start will develop knowledge and skills that may be useful to these careers:
Hadoop Administrator
Hadoop Administrators are responsible for managing and maintaining Hadoop clusters. This course will teach them the fundamentals of Hadoop administration, including how to deploy Hadoop, configure HDFS, and execute MapReduce jobs.
See salaries and explore the career path for Hadoop Administrator
Big Data Engineer
Big Data Engineers design and implement systems for storing and analyzing large datasets. Hadoop is one of the most popular frameworks for big data engineering. This course will teach Big Data Engineers how to deploy Hadoop, configure HDFS, and execute MapReduce jobs.
See salaries and explore the career path for Big Data Engineer
Software Engineer
Software Engineers design and develop software systems. They are often required to work with big data frameworks like Hadoop. Software Engineers who take this course can learn how to deploy Hadoop, configure HDFS, and execute MapReduce jobs. This knowledge and expertise is highly sought after.
See salaries and explore the career path for Software Engineer
Chief Technology Officer
Chief Technology Officers are responsible for overseeing all aspects of technology within an organization. Hadoop is a critical technology for big data. This course may help Chief Technology Officers gain a better understanding of Hadoop and how to use it to drive innovation.
See salaries and explore the career path for Chief Technology Officer
Data Analyst
Data Analysts use a wide range of frameworks and technologies to store, process, analyze, and visualize data. Hadoop is one of the most robust and scaleable of these frameworks. Therefore, this course will be invaluable to Data Analysts who wish to develop expertise in big data storage and analysis.
See salaries and explore the career path for Data Analyst
Cloud Architect
Cloud Architects design and manage cloud computing systems. Hadoop is commonly used in cloud environments for big data storage and analysis. Therefore, Cloud Architects who take this course may gain valuable knowledge and skills that can help them advance their career.
See salaries and explore the career path for Cloud Architect
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. Hadoop is often used for training and deploying machine learning models. This course will help Machine Learning Engineers learn how to use Hadoop for big data machine learning.
See salaries and explore the career path for Machine Learning Engineer
Data Analytics Manager
Data Analytics Managers lead teams of data analysts and are responsible for developing and implementing data analytics strategies. Hadoop is a key technology for big data analytics. This course will help Data Analytics Managers learn how to use Hadoop to gain insights from data.
See salaries and explore the career path for Data Analytics Manager
Chief Data Officer
Chief Data Officers are responsible for overseeing all aspects of data management within an organization. Hadoop is a critical technology for big data management. This course may help Chief Data Officers gain a better understanding of Hadoop and how to use it to drive business value.
See salaries and explore the career path for Chief Data Officer
Data Warehousing Architect
Data Warehousing Architects design and implement data warehouses. Hadoop is a popular choice for data warehousing due to its ability to store and analyze large amounts of data. This course may be helpful for Data Warehousing Architects who are looking to gain expertise in Hadoop.
See salaries and explore the career path for Data Warehousing Architect
IT Architect
IT Architects design and implement IT systems. This often involves working with big data frameworks like Hadoop. Hadoop's ability to scale up and down easily makes it a popular choice for IT Architects.
See salaries and explore the career path for IT Architect
Database Administrator
Database Administrators are responsible for managing and maintaining databases. As Hadoop is a powerful tool for storing and analyzing data, it can be a valuable asset to Database Administrators. This course will help them learn the fundamentals of Hadoop and how to implement it in their work.
See salaries and explore the career path for Database Administrator
Data Scientist
Data Scientists are responsible for developing new algorithms and models for data analysis. Hadoop is critical to this process as it enables the storage and processing of massive datasets. This course may help Data Scientists build a foundation of knowledge in this framework.
See salaries and explore the career path for Data Scientist
Business Analyst
Business Analysts use data to help businesses make better decisions. Hadoop's ability to store and analyze massive amounts of data can be a valuable asset to Business Analysts. This course will teach them how to leverage Hadoop to gain insights from data.
See salaries and explore the career path for Business Analyst
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. As Hadoop is a framework for analyzing voluminous data, this course may be helpful for Data Engineers who wish to apply this powerful framework to their work.
See salaries and explore the career path for Data Engineer

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Hadoop Quick Start.
Cover image
Hadoop: The Definitive Guide
Save
This comprehensive book provides an in-depth overview of Hadoop, including its architecture, components, and use cases. It serves as a valuable reference for readers seeking a deep understanding of the technology.
Hadoop: The Definitive Guide: Storage and Analysis...
Paperback
$$
Hadoop: The Definitive Guide
Kindle Edition
$$
Hadoop: The Definitive Guide
Paperback
$$
Hadoop: The Definitive Guide
Paperback
$$
Cover image
Hadoop Operations
Save
This practical guide focuses on the operational aspects of Hadoop, covering topics such as cluster management, job scheduling, and data management. It offers valuable insights for system administrators and engineers.
Hadoop Operations: A Guide for Developers and...
Kindle Edition
$$
Hadoop Operations by Eric Sammer (2012-10-19)
Paperback
$$
Cover image
Apache Hadoop YARN
Save
This introductory book provides a concise overview of Hadoop, its components, and how to use it effectively. It good starting point for learners new to the technology.
Apache Hadoop YARN: Moving beyond MapReduce and...
Paperback
$$
Cover image
Hadoop in Practice
Save
Presents case studies and real-world examples of Hadoop deployments. It offers practical guidance for implementing Hadoop solutions in various industries.
Hadoop in Practice: Includes 104 Techniques
Paperback
$$
Hadoop in Practice: Includes 85 Techniques
Paperback
$$
Hadoop in Practice: Includes 104 Techniques
Kindle Edition
$$
Cover image
Learning Spark
Save
Introduces Apache Spark, a fast and versatile data processing engine. While not directly related to Hadoop, Spark is often used in conjunction with Hadoop and provides complementary capabilities.
Learning Spark: Lightning-Fast Big Data Analysis
Paperback
$$
Cover image
Fundamentals of Machine Learning for Predictive...
Save
Provides a comprehensive overview of data science and big data analytics techniques. It covers a wide range of topics, including data preparation, modeling, and visualization.
Fundamentals of Machine Learning for Predictive...
Hardcover
$$$
Fundamentals of Machine Learning for Predictive...
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Here are nine courses similar to Hadoop Quick Start.
Hadoop and Spark Fundamentals: Unit 1
Most relevant
Big Data Technologies and Applications
Most relevant
Big Data Analysis with Scala and Spark (Scala 2 version)
Most relevant
Introduction to Big Data
Most relevant
Cloud Computing Applications, Part 2: Big Data and...
Most relevant
Hadoop Platform and Application Framework
Most relevant
Learn By Example: Hadoop, MapReduce for Big Data problems
Most relevant
Hadoop Developer In Real World
Most relevant
Practical Guide to setup Hadoop and Spark Cluster using...
Most relevant

Pluralsight Buyer Protection & Guarantee

Verified partner policies & purchase protections

Enterprise Technology Platform
Free Trial & Audit

10-Day Free Trial

10-day free trial (up to 200 minutes of content) with access to the Skills video library and skill assessments. Cancel before day 10 to avoid automatic conversion.

Return & Refund Policy

Cancel Anytime (Non-Refundable Once Billed)

Cancel easily online anytime before the 10-day trial expires to prevent billing. Once subscription fees are paid, individual subscriptions are non-refundable (cancellation stops future renewals).

Buyer Protections

Verified Academic & Industry Partner

Skill IQ and Role IQ diagnostic benchmark assessments, hands-on lab environments, and curated learning paths designed by technology leaders.

Key Purchase Protections
10-day free trial on individual Skills plans
Skill IQ assessments to benchmark proficiency
Cancel anytime online before trial ends without fees
Hands-on interactive labs and enterprise-grade tech content
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Course image
Time
150 hours
Level
Intermediate
Via
Pluralsight
Instructor
A Cloud Guru
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Gets right into Hadoop deployment, HDFS configuration, and MapReduce execution
Incorporates a guided hands-on learning activity
Designed for beginners looking to jumpstart their Hadoop journey
Taught by A Cloud Guru instructors, recognized for their expertise in cloud computing
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
This course is currently discontinued or unavailable. See active alternatives above.
Course Unavailable
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser