课程描述
Hadoop Developer In Real World is one of the premier Yudem training courses that teaches Hadoop frameworks. This course will teach you all the training concepts needed to get a Hadoop Developer Job. Concepts such as HDFS, MapReduce, YARN, Apache Pig and Hive are introduced in this course. Each of the above concepts is examined in depth and conceptually, and the instructor is not limited to basic concepts only and covers complex topics such as file formats, I / O formats, debugging, optimization, and so on. All concepts are presented in interesting projects such as analyzing a collection of millions of songs in order to find popular singers with featured songs, rating pages collected from Wikipedia, simulating cross-friendliness on Facebook, and so on. This course is for anyone who is planning to become a Hadoop developer or anyone looking to learn Hadoop Big Data and Hadoop frameworks.
Hadoop Developer In Real World 是教授 Hadoop 框架的主要 Yudem 培训课程之一。本课程将教您获得 Hadoop 开发人员工作所需的所有培训概念。本课程介绍了 HDFS、MapReduce、YARN、Apache Pig 和 Hive 等概念。上述每个概念都进行了深入和概念性的研究,讲师不仅限于基本概念,还涵盖了文件格式、I/O 格式、调试、优化等复杂主题。所有概念都在有趣的项目中呈现,例如分析数百万首歌曲的集合以找到具有特色歌曲的流行歌手,从维基百科收集的评级页面,模拟 Facebook 上的交叉友好性等。本课程适用于计划成为 Hadoop 开发人员或希望学习 Hadoop 大数据和 Hadoop 框架的任何人。
Hadoop Developer In Real World course features:; Hadoop Developer In Real World 课程特色:
- Understanding the Big Data, its Challenges and the Role of Hadope as a Solution
- 了解大数据、其挑战以及 Hadope 作为解决方案的作用
- Installing and Configuring Hadoop Clusters on Amazon CloudServer (AWS)
- 在 Amazon CloudServer (AWS) 上安装和配置 Hadoop 集群
- Work with a variety of formats like SequenceFile, AVRO and more
- 处理各种格式,如 SequenceFile、AVRO 等
- Understand the different phases of MapReduce in detail
- 详细了解MapReduce的不同阶段
- And …
- 和 …
Course specification:; 课程规格:
- English language
Duration: 18:45:39
Number of lessons: 89
Tutor: Hadoop In Real World
File Format: Video: h264, 1280 * 720 | Audio: AAC 44 KHz 2ch
Playable on: Windows, Mobile, TV - 英语语言时长:18:45:39 课时数:89 导师:Hadoop In Real World 文件格式:视频:h264, 1280 * 720 |音频:AAC 44 KHz 2ch 可在:Windows、移动设备、电视上播放
Topics in this course:; 本课程主题:
Thank You and Let\’s Get Started
3 Lectures
27:54
谢谢,让我们开始吧 3 个讲座 27:54
Introduction To Big Data
3 Lectures
35:57
大数据简介 3 讲 35:57
HDFS
6 Lectures
56:04
HDFS 6 个讲座 56:04
MapReduce
9 Lectures
01:42:42
MapReduce 9 个讲座 01:42:42
Apache Pig
11 Lectures
02:28:36
Apache Pig 11 个讲座 02:28:36
Apache Hive
12 Lectures
01:50:25
Apache Hive 12 个讲座 01:50:25
Architechture
5 Lectures
55:09
建筑学 5 个讲座 55:09
Cluster Setup
5 Lectures
01:29:40
集群设置 5 讲 01:29:40
Hadoop Administrator In Real World (Preview)
2 Lectures
37:15
现实世界中的 Hadoop 管理员(预览版)2 个讲座 37:15
File Formats
10 Lectures
02:43:07
文件格式 10 个讲座 02:43:07
Troubleshooting and Optimizations
6 Lectures
01:21:48
故障排除和优化 6 个讲座 01:21:48
Apache Sqoop
4 Lectures
46:03
Apache Sqoop 4 个讲座 46:03
Apache Flume
4 Lectures
45:54
Apache Flume 4 讲座 45:54
Kafka
8 Lectures
01:47:22
卡夫卡 8 讲 01:47:22
Bonus
1 Lecture
19:18
奖金 1 讲座 19:18
Requirements ; 要求
Although you do not have to be an expert in Java, basic knowledge of Java programming is required as we will be looking at Java programs.
Basic Linux commands
虽然您不必是 Java 专家,但需要具备 Java 编程的基本知识,因为我们将研究 Java 程序。基本的 Linux 命令
Pictures; 图片
Installation guide; 安装指南
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This tutorial is provided with English subtitles.
本教程提供英文字幕。