Hadoop Basic Course for Beginners to Professionals

Getting Started with Hadoop: An open source framework to handle Big data
Rating: 4.1 out of 5 (526 ratings)
15,953 students
English

Basics of big data
History of Hadoop
Difference between RDBMS and Hadoop
Cluster Modes in Hadoop
HDFS Daemons and Mapreduce daemons
HADOOP CLUSTER ARCHITECTURE
HDFS Commands
Combiner & Partitioner
Mapreduce

Requirements

  • Basics of Big data
  • Basics of NoSQL databases
  • Basics of Programming
  • Programming terminologies

Description

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

This basic course provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.

This course has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course. 

Before you start proceeding with this course, we assume that you have prior exposure to Core Java, database concepts, and any of the Linux operating system flavors.

Who this course is for:

  • This course has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer.
  • Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.

Instructor

Edulearners Technologies
  • 3.2 Instructor Rating
  • 831 Reviews
  • 17,434 Students
  • 9 Courses

Edulearners originated from the idea that there exists a class of readers who respond better to online content and prefer to learn new skills at their own pace from the comforts of their drawing rooms.

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