Johns Hopkins University

HDFS Architecture and Programming

Johns Hopkins University

HDFS Architecture and Programming

This course is part of Big Data Processing Using Hadoop Specialization

Karthik Shyamsunder

Instructor: Karthik Shyamsunder

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand HDFS architecture, components, and how it ensures scalability and availability for big data processing.

  • Learn to configure Hadoop for Java programming and perform file CRUD operations using HDFS APIs.

  • Master advanced HDFS programming concepts like compression, serialization, and working with specialized file structures like Sequence and Map files.

Details to know

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Assessments

9 assignments

Taught in English

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This course is part of the Big Data Processing Using Hadoop Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • 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 course provides a comprehensive understanding of Hadoop Distributed File System (HDFS) architecture and its key components. Students will gain hands-on experience with HDFS, learning how to set up Java programming environments and configure Hadoop. The course covers essential topics such as the HDFS programming model, file and directory CRUD operations, and compression techniques. You will also explore serialization, deserialization, and specialized file structures like Sequence and Map Files. By the end of the course, You will be equipped to leverage HDFS for scalable, highly available big data solutions.

What's included

2 readings

In this module, we will cover the working model and architecture behind Hadoop Distributed File System (HDFS) 1.0 and the capabilities and deficiencies of HDFS 1.0 architecture.

What's included

6 videos4 readings3 assignments

In this module, we will cover HDFS programming concepts, HDFS API, and steps to write an HDFS client program for CRUD (Create, Read, Update and Delete) on files.

What's included

6 videos5 readings3 assignments

In this module, we will cover HDFS advanced programming concepts, such as CRUD on directories, compression, serialization and deserialization, and file-based data structures like sequence files.

What's included

6 videos5 readings3 assignments

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Instructor

Karthik Shyamsunder
Johns Hopkins University
4 Courses 1,276 learners

Offered by

Johns Hopkins University

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