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Deploying a Hadoop Cluster

Approx. 3 weeks

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Brief Introduction

Using massive datasets to guide decisions is becoming more and more important for modern businesses. Hadoop and MapReduce are fundamental tools for working with big data. By knowing how to deploy your own Hadoop clusters, you’ll be able to start exploring big data on your own.

Course Summary

This course teaches you how to deploy a Hadoop cluster in a production environment. You'll learn how to configure Hadoop cluster, manage resources, and optimize performance.

Key Learning Points

Learn how to deploy a Hadoop cluster in a production environment
Configure and manage resources for your Hadoop cluster
Optimize your Hadoop cluster's performance

Learning Outcomes

Ability to deploy a Hadoop cluster in a production environment
Knowledge of resource management and performance optimization
Preparedness for Hadoop-related job positions

Prerequisites or good to have knowledge before taking this course

Basic knowledge of Hadoop
Familiarity with Linux command line

Course Difficulty Level

Intermediate

Course Format

Online self-paced course
Video lectures and hands-on exercises
Estimated time commitment: 4 weeks

Similar Courses

Hadoop Administration
Big Data Foundations

Related Education Paths

Notable People in This Field

Creator of Hadoop
Author of Hadoop: The Definitive Guide

Related Books

Description

Deploy your own Hadoop cluster to crunch some big data!

Requirements

This course is intended for students with some experience with Hadoop and MapReduce, Python, and bash commands. You’ll have to be able to work with HDFS and write MapReduce programs. You can learn about these in our Intro to Hadoop and MapReduce course . The MapReduce programs in the course are written in Python. It is possible to use Java and other languages, but we suggest using Python, on the level of our Intro to Computer Science course . You’ll also be using remote cloud machines, so you’ll need to know these bash commands: ssh scp cat head/tail You’ll also need to be able to work in an editor such as vim or nano. You can learn about these in our Linux Command Line Basics course. See the Technology Requirements for using Udacity.

Knowledge

Instructor videosLearn by doing exercisesTaught by industry professionals

Outline

lesson 1 Deploying a Hadoop cluster on Amazon EC2 Learn how to deploy a small Hadoop cluster on Amazon EC2 instances. lesson 2 Deploy a Hadoop cluster with Ambari Use Apache Ambari to automatically deploy a larger more powerful Hadoop cluster. lesson 3 On-demand Hadoop clusters Use Amazon’s ElasticMapReduce to deploy a Hadoop cluster on-demand. lesson 4 Analyzing a big dataset with Hadoop and MapReduce Use Hadoop and MapReduce to analyze a 150 GB dataset of Wikipedia page views.

Summary of User Reviews

Learn how to deploy a Hadoop cluster with Udacity's comprehensive course. Students rave about the course's practical approach and real-world examples. Discover the benefits and drawbacks of this popular course below.

Pros from User Reviews

Great practical applications and real-world examples
Comprehensive coverage of Hadoop cluster deployment
Engaging and knowledgeable instructors
Flexible learning options, including self-paced and instructor-led courses
Clear and concise explanations of complex concepts

Cons from User Reviews

Some users feel the course could benefit from more hands-on exercises
Occasional technical difficulties with the course platform
Course may be too basic for experienced Hadoop users
Some users found the pace of the course too slow
Limited interaction with instructors and other students

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