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Hadoop Fundamentals

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Course Features

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Duration

3 hours

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

3 hours

Course Description

Individuals who are interested in understanding the basics of Hadoop and Big Data will find the aEURHadoop fundamentals' a great course package. This course will help learners understand the processes behind processing large volumes of data, as the industry shifts from excel-based analytics towards real-time analytics.
This course covers the fundamentals of Big Data and Hadoop. The course also provides an overview on Hadoop's commercial distributions and the components of Hadoop's ecosystem.

Course Overview

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Alumni Network

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

There are no prerequisites for this course

What You Will Learn

Understand the characteristics of Big Data

Describe the basics of Hadoop and HDFS architecture

List the features and processes of MapReduce

Learn the basics of Pig, Hive and HBase

Explore the commercial distributions of Hadoop

Understand the key components of the Hadoop ecosystem

Get introduced to Sqoop & ZooKeeper

Target Students

‘Hadoop Fundamentals’ course is meant for professionals who intend to gain a basic understanding of Big Data and Hadoop

It is ideal for professionals in senior management who requires a theoretical understanding of how Hadoop can solve their Big Data problem

Course Instructors

Tom Robertson

Data Science Enthusiast

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defi...
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