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Johns Hopkins University

Big Data and Hadoop Foundations and Setup

Johns Hopkins University via Coursera

Overview

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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. Through detailed modules, you will gain a deep understanding of Big Data concepts, the role of Data Science and Big Data Analytics, and the trends shaping the Big Data revolution. The course demystifies Hadoop's subprojects and distributions, giving you the tools to differentiate between them and apply their features to real-world problems. What sets this course apart is its hands-on approach. You'll install, configure, and run Hadoop in a Linux environment, building the technical proficiency needed to process large-scale data effectively. Whether you’re looking to enhance your career in Data Science or understand Big Data’s transformative impact on businesses, this course equips you with the skills to succeed.

Syllabus

  • Course Introduction
    • 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.
  • Big Data Revolution (Introduction)
    • In this introductory module, we introduce the trends and concepts behind the Big Data revolution that is taking place in the Information Technology marketplace.
  • Hadoop Architecture and Ecosystem
    • 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.
  • Setting up Hadoop
    • 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.

Taught by

Karthik Shyamsunder

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