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所在平台: Udemy |
课程主页: https://www.udemy.com/course/become-a-big-data-hadoop-developer-from-scratch/
课程评论：没有评论
**深度解析：从零开始成为大数据 Hadoop 开发者** 本课程（来自 Coursera）将带您全面掌握 Apache Hadoop，一个旨在构建高性能分布式存储和处理大型数据集的开源软件框架。我们将从大数据起源、特点及应用场景入手，深入剖析 Hadoop 集群的整体架构。 课程将重点讲解 Hadoop 的核心组件： * **HDFS（Hadoop 分布式文件系统）**: 详细解析 HDFS 的组成部分、架构设计，以及 NameNode、Secondary NameNode 和 DataNode 的作用。 * **MapReduce**: 深入理解 Map 阶段和 Reduce 阶段的工作原理，学习 MapReduce 的架构，并探讨 Combiners 和 Reducers 的应用。 * **Pig**: 介绍 Apache Pig 的重要性，学习 Pig Latin 语言，并分析其适用场景及局限性。 * **HBase**: 探讨 HBase 的主要用例，掌握其常用命令、DDL/DML 操作，以及如何创建、删除和集成表。 无论您是初学者还是希望深入了解大数据技术的开发者，本课程都将为您打下坚实的基础，助您成为一名合格的大数据 Hadoop 开发者。现在就开始您的学习之旅吧！
Apache Hadoop is an open-source software framework for distributed storage and distributed processing of large data on computer clusters built from commodity hardware. In this course we'll discuss about several important aspects of Hadoop like HDFS(Hadoop Distributed File System), MapReduce, Hive, HBase and Pig.First we'll talk about Overview of Big data means what is Big Data, Facts of Big Data, Scenarios, Hadoop cluster architecture. Then we'll move towards HDFS, Components of HDFS and its architecture, NameNode, Secondary NameNode and DataNode.Next module is about MapReduce. In this we'll talk about Map Phase and Reduce Phase, Architecture of MapReduce, Combiners and Reducers. Next module is about PIG. In this we'll see what is Apache Pig, its importance, Pig Latin language, and where to avoid Pig.Them we'll talk about HBase, we'll talk about its use cases, general commands in HBase, DDL in HBase, DML in HBase, How to create, delete and integrate table in HBase and lot more.So start learning Hadoop today.
