Hadoop & MapReduce Fundamentals

Online Course

Udemy
Hadoop & MapReduce Fundamentals

What is the course about?

Hadoop & MapReduce Fundamentals
The course Hadoop & MapReduce Fundamentals is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Hadoop & MapReduce Fundamentals

Course description
  • Hadoop & MapReduce Fundamentals
  • Get a basic understanding of the different components of Hadoop ecosystem
  • Understand and work with Hadoop Distributed File System (HDFS)
  • Ingest data using Sqoop and Flume
  • Use HBase, understand its architecture and data storage
  • Get essential knowledge of Pig and its components
  • There are no formal prerequisites for learning this course.
  • This entry level course requires students to have the core knowledge of Java and SQL.
  • Other than that, the course builds up the base from scratch and takes it to the level where students feel comfortable in understanding and applying the concepts of big-data to the real world scenarios.
  • 3.5 hours on-demand video
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Integrity Training

Prerequisites & Facts

Hadoop & MapReduce Fundamentals

Course Topic

Personal Success, Teacher Training, Teaching & Academics

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Hadoop & MapReduce Fundamentals

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Hadoop & MapReduce Fundamentals
provided by Udemy

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School: Udemy
Topic: Development, Hadoop, Software Engineering