The course "Big Data and Hadoop Foundations and Setup" offers a comprehensive introduction to the world of Big Data and Hadoop, providing foundational knowledge crucial for navigating modern data-driven environments. You’ll explore the limitations of traditional data processing technologies and understand how Hadoop addresses these challenges with its robust architecture and ecosystem.
Big Data and Hadoop Foundations and Setup
Big Data and Hadoop Foundations and Setup
This course is part of Big Data Processing Using Hadoop Specialization
Instructor: Karthik Shyamsunder
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
14 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Define Big Data, explore its relevance in analytics and data science, and understand trends shaping modern data processing technologies.
Examine Hadoop architecture, its ecosystem, and subprojects, distinguishing distributions and their roles in Big Data solutions.
Acquire practical skills to install, configure, and run Hadoop on a Linux virtual machine, enabling effective Big Data processing.
Details to know
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Assessments
9 assignments
Taught in English
Recently updated!
January 2025
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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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There are 4 modules in this course
This course provides an in-depth understanding of Big Data concepts, including Data Science and Big Data Analytics. It explores the limitations of traditional data processing and introduces modern technologies that support Big Data solutions. Learners will gain a comprehensive understanding of Hadoop architecture, its subprojects, and distributions. The course includes hands-on experience with installing, configuring, and running Hadoop in a Big Data environment. By the end of the course, learners will be equipped to leverage Hadoop for processing large-scale data.
What's included
2 readings
In this introductory module, we introduce the trends and concepts behind the Big Data revolution that is taking place in the Information Technology marketplace.
What's included
8 videos6 readings3 assignments
This module provides a comprehensive overview of Apache Hadoop, exploring its architecture, history, and foundational principles. You will also delve into the Hadoop ecosystem, examining its technology stack, popular distributions, and key documentation to help you navigate and understand this powerful big data framework.
What's included
8 videos7 readings3 assignments
In this module, you will learn how to set up a Hadoop environment on a Linux Virtual Machine. We will guide you through downloading, installing, configuring, and running Hadoop using VirtualBox and CentOS Linux. Additionally, you will explore the setup and configuration of Hadoop 3 YARN, concluding with a comprehensive summary of the process.
What's included
5 videos4 readings3 assignments
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