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Hadoop: Fundamentals

Hadoop: Fundamentals

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3

Modules

20

Topics

5-6

hours

learn about how hadoop helps to store and distribute very large data sets across hundreds of inexpensive servers that operate in parallel in this free online course.
Module 1
Hadoop Architecture
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This module describes the concepts of Hadoop using Hortonworks Hadoop Sandbox. It provides practical knowledge and hands-on experience in defining as well as implementing Hadoop architecture in HDFS. This module comprises of seven subtopics that explicitly explains concepts related to BigData, Data delivery, HDFS and the members of Hadoop ecosystem

Hadoop Architecture - Learning Outcomes

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Prerequisites of Hadoop

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Introduction to Hadoop

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History of Hadoop

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Hadoop Architecture

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Hadoop Ecosystem

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Data Delivery and Hadoop Sandbox

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HDFS Basics

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Hadoop Architecture - Lesson Summary

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Hadoop Architecture Assessment

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Module 2
ETL and MapReduce
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This module describes the concepts of ETL tools, the various sources of BigData. It illustrates with hands on practical examples, how to use Hadoop's ETL tools to ingest them into the cluster and how to compile as well as run a MapReduce application using Hadoop.

ETL and MapReduce - Learning Outcomes

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Big Data Source and ETL

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ETL Demo

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Understanding MapReduce

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MapReduce Demo

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Developing MapReduce

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Schedule MapReduce

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ETL and MapReduce - Lesson Summary

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ETL and MapReduce Assessment

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course assessment: Hadoop: Fundamentals
Module 3
Course assessment
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Hadoop Fundamentals | Final Assessment

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