Hands-On Beginner's Guide on Big Data and Hadoop 3

Online Course

Udemy
Hands-On Beginner’s Guide on Big Data and Hadoop 3

What is the course about?

Hands-On Beginner’s Guide on Big Data and Hadoop 3
The course Hands-On Beginner’s Guide on Big Data and Hadoop 3 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.

Effectively store, manage, and analyze large Datasets with HDFS, SQOOP, YARN, and MapReduce

Course description
  • Hands-On Beginner’s Guide on Big Data and Hadoop 3
  • Focus on the Hadoop ecosystem to understand big data and how to manage it
  • Learn the basic commands used by big data developers and the structure of the Unix OS.
  • Understand the HDFS architecture and command line to deal with HDFS files and directories
  • Import data using Flume and analyze it using MapReduce
  • Export and import data from RDBMS to HDFS and vice-versa with SQOOP
  • Basic Java programming knowledge would be an advantage.
  • 3 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Hands-On Beginner’s Guide on Big Data and Hadoop 3

Course Topic

Amazon FBA, Finance & Accounting, Money Management Tools

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

Hands-On Beginner’s Guide on Big Data and Hadoop 3

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
Hands-On Beginner’s Guide on Big Data and Hadoop 3
provided by Udemy

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School: Udemy
Topic: Big Data, Databases, Development