Hadoop & MapReduce Getting Started

Offered bySkillsoft

Hadoop & MapReduce Getting Started
at
Skillsoft
Overview

Dive into the world of big data with our "Hadoop & MapReduce: Getting Started" course, designed to equip you with the foundational skills needed to harness the power of Hadoop and MapReduce

Duration	1 hour
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Credential	Certificate
Future job roles	CRUD, .Net, CSR, Credit risk, Senior Software Developer

Hadoop & MapReduce Getting Started
at
Skillsoft
Highlights

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Hadoop & MapReduce Getting Started
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Skillsoft
Course details

Skills you will learn

Cloudera NoSQL Java Hadoop Big Data

What are the course deliverables?

Describe what big data is and list the various sources and characteristics of data available today

Recognize the challenges involved in processing big data and the options available to address them such as vertical and horizontal scaling

Specify the role of hadoop in processing big data and describe the function of its components such as hdfs, mapreduce, and yarn

Identify the purpose and describe the workings of hadoop's mapreduce framework to process data in parallel on a cluster of machines

Recall the steps involved in building a mapreduce application and the specific workings of the map phase in processing each row of data in the input file

Recognize the functions of the shuffle and reduce phases in sorting and interpreting the output of the map phase to produce a meaningful output

Recognize the techniques related to scaling data processing tasks, working with clusters, and mapreduce and identify the hadoop components and their functions

More about this course

In this course, learners will explore the theory behind big data analysis using Hadoop, and how MapReduce enables parallel processing of large data sets distributed on a cluster of machines

A brief overview of Hadoop, its role in processing big data, and the functions of its components such as the Hadoop Distributed File System (HDFS), MapReduce, and YARN (Yet Another Resource Negotiator)