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Janani Ravi

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.

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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.

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What's inside

Syllabus

Course Overview
Introducing Hadoop
Installing Hadoop
Storing Data with HDFS
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Processing Data with MapReduce
Scheduling and Managing Tasks with YARN

Good to know

Know what's good
, what to watch for
, 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

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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
Refreshes and strengthens Java skills for effective Hadoop development.
Browse courses on Java Programming
Show steps
  • Review Java syntax and coding best practices.
  • Practice writing Java programs.
  • Solve Java coding challenges.
Review Hadoop: The Definitive Guide
Provides a deep understanding of core Hadoop concepts, preparing you for course material.
Show steps
  • 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
Fosters collaboration and knowledge sharing among learners.
Show steps
  • 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
Expand to see all activities and additional details
Show all five activities
Hadoop Best Practices Resource List
Compiles and organizes valuable references for ongoing Hadoop development.
Show steps
  • 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
Provides a challenging environment to test skills and fuel innovation.
Show steps
  • 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected seven 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 The Building Blocks of Hadoop - HDFS, MapReduce, and YARN.
Hadoop: The Definitive Guide comprehensive reference guide that provides a thorough overview of the Hadoop framework, including its architecture, components, and applications. It valuable resource for anyone who wants to gain a deep understanding of Hadoop and its capabilities.
Is the original paper that introduced the MapReduce programming model. It good choice for anyone who wants to understand the fundamental concepts of MapReduce and how it can be used for large-scale data processing.
Hands-on guide for developers who want to learn how to use Hadoop to develop data-intensive applications. It covers a wide range of topics, including data storage, data processing, and data visualization, and good choice for developers who want to learn how to use Hadoop in a practical setting.
Provides real-world examples and case studies of how Hadoop is used in various industries. It good choice for anyone who wants to learn how to use Hadoop for practical business applications.
Focuses on practical applications of Hadoop and provides numerous real-world examples and case studies. It is suitable for readers who have some experience with Hadoop and want to learn how to use it effectively for data processing tasks.
Explores various design patterns commonly used in MapReduce programming. It provides guidance on how to write efficient and scalable MapReduce applications and valuable resource for anyone who wants to develop complex Hadoop solutions.
Provides a concise and accessible introduction to Hadoop for beginners. It covers the basics of Hadoop and its components and good choice for those who want to get a quick overview of Hadoop.

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