By completing this course, learners will be able to identify Big Data challenges, explain Hadoop’s architecture, configure HDFS for distributed storage, execute MapReduce programs, and apply advanced cluster management techniques. Participants will also develop the ability to validate system health, implement fault tolerance, and integrate Java applications with Hadoop for real-world use cases.
Hadoop: Analyze, Configure & Manage Big Data
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您将学到什么
Configure and manage HDFS for distributed data storage.
Execute and optimize MapReduce jobs for large datasets.
Implement fault tolerance and monitor Hadoop cluster health.
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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
29 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。
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- 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6个模块
This module introduces learners to the fundamentals of Big Data and the Hadoop ecosystem. It covers the challenges posed by massive datasets, explains the flow of data through HDFS write and read processes, and demonstrates MapReduce basics with the Word Count example to establish a solid foundation.
涵盖的内容
14个视频5个作业
This module dives deeper into Hadoop fundamentals by connecting Big Data concepts to practical scenarios. Learners explore the MapReduce model, gain familiarity with the Cloudera distribution, and use interfaces like HDFS Web UI, HUE, and shell commands for hands-on understanding.
涵盖的内容
12个视频5个作业
This module emphasizes hands-on management of HDFS and integrates Java for real-world applications. Learners practice advanced shell operations, understand the responsibilities of Hadoop administrators, and explore critical HDFS components like FS Image and Secondary NameNode.
涵盖的内容
8个视频4个作业
This module focuses on Hadoop architecture and system setup. It guides learners through HDFS architecture, block placement policy, installation processes, and critical cluster configuration steps such as hostnames, gateways, SSH, and password-less authentication.
涵盖的内容
14个视频5个作业
This module builds expertise in managing Hadoop clusters through detailed configuration tasks. It covers Hadoop’s core files, slave file setup, rack awareness, DFS admin tools, and essential commands for executing and managing MapReduce jobs.
涵盖的内容
13个视频5个作业
This module equips learners with advanced operational skills for managing and maintaining Hadoop clusters. It covers HDFS file operations, checkpointing, safe and maintenance modes, DataNode commissioning, validation, and storage planning considerations.
涵盖的内容
13个视频5个作业
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