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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-how-to-create-hadoop-mapreduce-jobs-in-python/
课程评论：没有评论
**课程名称：** Learn How to Create Hadoop MapReduce Jobs in Python **课程概述：** 本课程专注于利用 Python 语言创建 Apache Hadoop MapReduce 作业。Apache Hadoop 是一个开源软件框架，用于在由普通硬件组成的计算机集群上进行分布式存储和处理海量数据。MapReduce 作为 Hadoop 的核心，是一个允许开发者使用不同语言开发 Hadoop 作业的框架。 通过本课程，您将深入学习使用 Python 进行数据集分析的概念和不同方法。课程将引导您理解 MapReduce 作业编程、设置 Python 环境以运行 MapReduce 作业，以及如何在 Python 环境中提交和执行 MapReduce 应用程序。我们将从基础概念开始，逐步深入到 MapReduce 的高级主题。
Apache Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. MapReduce is the heart of Apache Hadoop. MapReduce is a framework which allows developers to develop hadoop jobs in different languages. So in this course we'll learn how to create MapReduce Jobs with Python.This course will provide you an in-depth knowledge of concepts and different approaches to analyse datasets using Python Programming. This course on MapReduce Jobs with Python will help you to understand MapReduce Jobs Programming in Python, how to set up an environment for the running MapReduce Jobs in Python, how to submit and execute MapReduce applications in Python environment. We will start from beginning and then dive into the advanced concepts of MapReduce.
