Overview

Big Data Hadoop

Hadoop is a foundational technology for processing and analyzing massive volumes of data. This three-day course, tailored for beginners, provides a comprehensive introduction to the core concepts of Big Data and Hadoop. Participants will gain an understanding of distributed storage and processing, Hadoop ecosystem components, and hands-on experience with Hadoop tools.

Skills Covered

By the end of this course, participants will:

  • Understand the concepts of Big Data and the significance of Hadoop in processing large datasets.
  • Be proficient in Hadoop’s distributed file system (HDFS) and data storage.
  • Gain practical experience in using Hadoop ecosystem components, including MapReduce and YARN.
  •  Learn to perform data processing and analysis with Hadoop.
  • Develop the skills to apply Hadoop to real-world Big Data challenges.
  • Feel confident to continue exploring more advanced Big Data technologies.

Prerequisites

There are no prerequisites required to attend this course.

Target Audience

  • Beginner level courses for aspiring Data Scientist.
  • Anyone who is interested in data science.

Course Curriculum

Module 1: Introduction to Big Data and Hadoop

  • What is Big Data and its significance.
  • Introduction to Hadoop and distributed computing.
  • Hadoop architecture and ecosystem overview.
  • Hadoop Distributed File System (HDFS): Concepts and components.
  • Hands-on exercises: Working with HDFS.

Module 2: Data Processing with MapReduce

  • Introduction to MapReduce and its role in Hadoop.
  • Mapper and Reducer functions in MapReduce.
  • Data flow in MapReduce.
  • Hands-on exercises: Writing and running a MapReduce job.
  • MapReduce case study: Word count example.
  • Practical projects in MapReduce.

Module 3: Beyond MapReduce: Hadoop Ecosystem and Real-World Applications

  • Introduction to YARN (Yet Another Resource Negotiator).
  • Hadoop ecosystem components: Hive, Pig, and Spark.
  • Real-world applications and case studies.
  • Final project assignment and guidelines.
  • Final project presentations.
  • Course wrap-up, Q&A, and next steps in Big Data and Hadoop journey.
  • Certificate distribution.

Dates & Locations

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Exam & Certification

This course is not associated with any Certification.

Training & Certification Guide

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