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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hadoop-mapreduce-in-depth-a-real-time-course-on-mapreduce/
课程评论：没有评论
**课程总结：Hadoop MapReduce 深度实战** 本课程深入讲解Hadoop MapReduce框架，从基础概念到实际项目应用，旨在帮助学员掌握在真实大数据项目中所需的MapReduce编程技能。 **核心内容：** * **MapReduce基础与进阶：** 课程不仅涵盖Mapper、Reducer等基本组件，更深入讲解在实际项目中需要重写的默认实现，以及更高级的MapReduce概念，这些内容在互联网上难以寻觅。 * **理论与实践结合：** 每节课程均分为理论和实践两部分。理论部分详细解释Hadoop组件，实践部分则通过实际的MapReduce程序演示如何实现这些组件，确保学员学以致用。 * **全程代码解析：** 所有MapReduce Java代码都提供详细的逐行解释，即使没有Java背景的学员也能轻松理解。课程提供的代码和数据集便于学员复现和练习。 * **面试必备：** 课程包含多个“案例研究”部分，这些案例是Hadoop面试中经常被问到的主题，能够有效提升学员的面试竞争力。 * **从零到实战：** 课程从头开始，全面覆盖Hadoop MapReduce的核心知识，直至实际项目开发，为学员提供完整的学习路径。 **学员收益：** * 全面掌握Hadoop MapReduce框架。 * 能够编写和优化实际项目中的MapReduce程序。 * 熟悉Hadoop面试中常见的问题和解决方案。 * 提升在大数据领域的实操能力。 本课程是希望在实时大数据项目中使用MapReduce的学员的理想选择。
Mapreduce framework is the closest to Hadoop in terms of processing Big data. It is considered as atomic processing unit in Hadoop and that is why it is never going to be obsolete.Knowing only basics of MapReduce (Mapper, Reducer etc) is not at all sufficient to work in any Real-time Hadoop Mapreduce project of companies. These basics are just tip of the iceberg in Mapreduce programming. Real-time Mapreduce is way more than that. In Live Big data projects we have to override lot many default implementations of Mapreduce framework to make them work according to our requirements.This course is an answer to the question "What concepts of Hadoop Mapreduce are used in Live Big data projects and How to implement them in a program ?" To answer this, every Mapreduce concept in the course is explained practically via a Mapreduce program.Every lecture in this course is explained in 2 Steps.Step 1: Theory - Explanation of a Hadoop component Step 2: Practicals - How to implement that component in a MapReduce program.The overall inclusions and benefits of this course:Complete Hadoop Mapreduce explained from scratch to Real-Time implementation.Each and Every Hadoop concept is backed by a HANDS-ON Mapreduce code.Advance level Mapreduce concepts which are even not available on Internet.For non Java backgrounder's help, All Mapreduce Java codes are explained line by line in such a way that even a non technical person can understand.Mapreduce codes and Datasets used in lectures are attached for your convenience. Includes multiple sections on 'Case Studies' that are asked generally in Hadoop Interviews.
