By the end of this course, learners will be able to analyze Hadoop’s data processing model, design custom MapReduce jobs, implement combiners and partitioners, build advanced applications with Pig and Java, parse weblogs, create inverted indexes, and deploy projects on Cloudera Local Host. Through a structured progression from foundational concepts to advanced analytics and real-world projects, learners will gain both theoretical knowledge and hands-on expertise.
MapReduce with Hadoop: Analyze, Design & Deploy
您将学到什么
Develop and optimize custom MapReduce programs in Hadoop.
Build and analyze data workflows using Pig and Java APIs.
Deploy and manage real-world projects on Cloudera clusters.
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要了解的详细信息
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最近已更新！
November 2025
作业
20 项作业
授课语言：英语（English）
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积累特定领域的专业知识
本课程是 Hadoop & Big Data Foundations Mastery Course 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书
该课程共有5个模块
This module introduces learners to the essential building blocks of Hadoop and MapReduce. It covers sorting mechanisms, the importance of composite keys, partitioning, core Hadoop commands, and the use of combiners. Learners will also see how real-world datasets are integrated into MapReduce projects.
涵盖的内容
15个视频4个作业
This module focuses on real-world applications of MapReduce with emphasis on movie rating analysis and user-based aggregations. It also introduces YARN resource management and NodeManager functionality, followed by practical demonstrations of running MapReduce jobs.
涵盖的内容
11个视频4个作业
This module deepens understanding of advanced MapReduce operations. Learners explore extended Word Count applications, log processors, and integration with Pig for high-level scripting. The module also introduces Java class customization and inverted indexing for search applications.
涵盖的内容
11个视频4个作业
This module introduces learners to different Hadoop data formats and their importance. It covers SequenceFiles for key-value storage, weblog parsing, analytics programs, and indexing methods. Learners will also understand social graph analysis using MapReduce.
涵盖的内容
9个视频4个作业
This module brings together all concepts through deployment and project execution. Learners will practice on Cloudera local host, run final projects, and strengthen skills through examples and practice programs that mirror real-world scenarios.
涵盖的内容
7个视频4个作业
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