单项课程

Deploying a Hadoop Cluster

Analyze Data with Hadoop and MapReduce

关于此课程

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.

学费
免费
学习时间
大约 3
难度
中级
你将获得

丰富的教学材料

互动随堂练习

业界专业导师

自主掌握进度

课程讲师

Mat Leonard

Mat Leonard

优达学城高级讲师

先修知识及要求

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.

查看使用优达学城的 技术要求

为什么学习这门课程?

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.

我将获得什么?
  • 教学视频
  • 随堂练习
  • 专业导师