Big Data and Hadoop Foundations and Setup

This course is part of Big Data Processing Using Hadoop Specialization

Instructor: Karthik Shyamsunder

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.
  • Skills you'll gain

  •   Analytics
  •   Scalability
  •   Apache Hadoop
  •   Big Data
  •   System Configuration
  •   Data Storage
  •   Software Installation
  •   Data Science
  •   Linux
  •   Data Processing
  •   Distributed Computing
  • There are 4 modules in this course

    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.

    Big Data Revolution (Introduction)

    Hadoop Architecture and Ecosystem

    Setting up Hadoop

    Explore more from Data Management

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