Resumo do curso

Learn how to tackle big data problems with your own Hadoop clusters! In this course, you’ll deploy Hadoop clusters in the cloud and use them to gain insights from large datasets.
Valor do curso
Grátis
Tempo estimado Tempo total entre hoje e dia da formatura depende do seu compromisso semanal. Em média, os nossos graduados completam este nanodegree em 3 semanas
3 semanas
Nível
intermediário
O curso inclui

Videoaulas

Testes interativos

Aulas com profissionais do setor

Ritmo individual de aprendizado

Comunidade de apoio aos alunos

Sua jornada de aprendizagem

Este curso aberto é seu primeiro passo em direção a uma nova carreira com o programa Engenheiro de Machine Learning

Curso Aberto

Deploying a Hadoop Cluster

por

Enhance your skill set and boost your hirability through innovative, independent learning.

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Mat Leonard
Mat Leonard

Pré-requisitos

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](https://www.udacity.com/course/intro-to-hadoop-and-mapreduce--ud617). 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](https://www.udacity.com/course/intro-to-computer-science--cs101). 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](https://www.udacity.com/course/linux-command-line-basics--ud595) course.

Por que fazer este curso?

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.
Quais são os recursos?
Vídeos dos instrutores Exercícios práticos Aulas com profissionais do setor