The Building Blocks of Hadoop - HDFS, MapReduce, and YARN from Pluralsight

Processing billions of records requires a deep understanding of distributed computing. In this course, you'll get introduced to Hadoop, an open-source distributed computing framework that can help you do just that.

You know how to write Java code and you know what processing you want to perform on your huge dataset. But, can you use the Hadoop distributed framework effectively to get your work done?

This course,

, gives you a fundamental understanding of the building blocks of Hadoop:

HDFS is the Hadoop Distributed File System, the primary data storage system used by Hadoop applications to scale a single Apache Hadoop cluster to hundreds of nodes.

MapReduce is a framework and java-based programming model used for processing large amounts of data. The map procedure filters and sorts the data, and the reduce method performs a summary operation.

YARN stands for Yet Another Resource Negotiator. It is a large-scale, distributed operating system for big data apps that allows the data in HDFS to be processed and run by data processing engines.

This course will introduce you to Hadoop and its basic building blocks. Topics covered include:

Anyone who wants to learn Hadoop and its building blocks of HDFS, MapReduce, and YARN should take this tutorial! If you need help processing vast numbers of records and want to understand distributed computing, this course is for you.

If you know how to write Java code and you know what processing you want to perform on your huge dataset then you should be good to go in this course. No prior experience with Hadoop is required.

What's inside

Syllabus

Course Overview

Introducing Hadoop

Installing Hadoop

Storing Data with HDFS

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Teaches foundational skills for working with Hadoop

Covers storing data with HDFS, processing data with MapReduce, and managing tasks with YARN

Taught by Janani Ravi, who is recognized for their work in data science and distributed computing

Suitable for anyone who wants to learn Hadoop its building blocks, this tutorial is a solid introduction

Course assumes learners know how to write Java code and understand the processing they want to perform on their dataset

For learners who seek a deep dive into Hadoop and its applications, this course provides a good starting point

Reviews summary

Foundational hadoop: concepts clear, labs outdated

According to learners, this course offers a strong foundational understanding of Hadoop's core components: HDFS, MapReduce, and YARN. Many appreciate the clear explanations and well-structured content that demystify complex distributed computing concepts. However, a significant number of recent students report challenges with outdated practical labs and installation instructions, which can significantly hinder the hands-on learning experience. While the theoretical knowledge is highly valued, the course may require additional effort and external resources to get the practical environment running smoothly.

The instructor effectively breaks down complex topics into digestible and understandable chunks.

"The explanations were clear and the hands-on labs were incredibly helpful for solidifying the concepts."

"The instructor explained the concepts well, especially MapReduce."

"The instructor breaks down complex topics into digestible chunks."

Provides a strong, clear introduction to Hadoop's core components and architecture.

"This course provided an excellent foundational understanding of Hadoop, HDFS, MapReduce, and YARN."

"A very comprehensive course for beginners. It demystifies Hadoop's architecture."

"I found the coverage of HDFS and MapReduce particularly strong. The foundational knowledge is strong."

While a good starting point, some feel the course lacks sufficient depth for immediate real-world implementation.

"Honestly, quite disappointed. The content feels a bit superficial and not detailed enough for someone who truly wants to implement Hadoop."

"I expected more depth given the subject matter. It's a quick overview, not a building blocks course."

"I felt some parts, especially YARN, could have had more practical examples or a deeper dive into real-world use cases beyond just the theory."

"It set me up well for more advanced topics."

Practical setup, examples, and tools are reported as outdated, causing significant troubleshooting challenges.

"However, the installation section felt a bit tricky to follow on my own system, and I spent some time troubleshooting."

"The theoretical parts are decent, but the practical setup was a nightmare. The environment setup instructions were outdated..."

"My only minor gripe is that some of the tools or versions mentioned felt a little dated."

"The labs didn't always work as expected, and troubleshooting took more time than learning."

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 The Building Blocks of Hadoop - HDFS, MapReduce, and YARN with these activities:

Review Java Programming

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Refreshes and strengthens Java skills for effective Hadoop development.

Browse courses on Java Programming

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Review Java syntax and coding best practices.
Practice writing Java programs.
Solve Java coding challenges.

Review Hadoop: The Definitive Guide

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Provides a deep understanding of core Hadoop concepts, preparing you for course material.

View Hadoop: The Definitive Guide: Storage and... on Amazon

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Obtain the book from your preferred source.
Identify the chapters that align with the course syllabus.
Read the selected chapters thoroughly.
Take notes on key concepts and technical details.
Review your notes regularly to reinforce your understanding.

Hadoop Study Group

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Fosters collaboration and knowledge sharing among learners.

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Form a study group with fellow learners.
Meet regularly to discuss course topics.
Share notes and resources.
Work on assignments or projects together.

Two other activities

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Hadoop Best Practices Resource List

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Compiles and organizes valuable references for ongoing Hadoop development.

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Gather articles, tutorials, and documentation related to Hadoop best practices.
Create a structured list or document that organizes these resources.
Review and update the resource list regularly.

Hadoop Hackathon

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Provides a challenging environment to test skills and fuel innovation.

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Find or organize a Hadoop hackathon.
Form a team or participate individually.
Develop and implement a Hadoop-based solution to a problem.
Present your solution to a panel of judges.

Career center

Learners who complete The Building Blocks of Hadoop - HDFS, MapReduce, and YARN will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use data to solve business problems. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to solve business problems using data.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers design, build, and maintain data systems. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to design and build scalable data systems.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to effectively analyze data and solve business problems.

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Cloud Engineer

Cloud Engineers design, build, and maintain cloud computing systems. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to design and build cloud computing systems that can handle large amounts of data.

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Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to develop machine learning models that can handle large amounts of data.

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Business Analyst

Business Analysts use data to help businesses make informed decisions. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to analyze data and solve business problems.

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Product Manager

Product Managers manage the development and launch of new products. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to develop and launch products that can handle large amounts of data.

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Software Engineer

Software Engineers design, build, and maintain software applications. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to develop software applications that can handle large amounts of data.

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System Administrator

System Administrators manage and maintain computer systems. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to manage and maintain computer systems that can handle large amounts of data.

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Sales Engineer

Sales Engineers help customers understand and use technical products. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to help customers use Hadoop to solve their business problems.

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Project Manager

Project Managers plan and manage projects. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to plan and manage projects that involve large amounts of data.

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Database Administrator

Database Administrators manage and maintain databases. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to manage and maintain large databases.

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Marketing Manager

Marketing Managers plan and execute marketing campaigns. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to plan and execute marketing campaigns that reach large audiences.

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Operations Manager

Operations Managers plan and manage the day-to-day operations of a business. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to use it to plan and manage the operations of a business that uses Hadoop.

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Technical Writer

Technical Writers create documentation for technical products. This course can help you build a foundation in Hadoop, which is a key technology used for processing large amounts of data. By understanding the building blocks of Hadoop, you can learn how to write documentation for products that use Hadoop.

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