The Ultimate Hands-On Hadoop: Tame your Big Data!

所在平台: Udemy

课程主页: https://www.udemy.com/course/the-ultimate-hands-on-hadoop-tame-your-big-data/

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**课程名称:** The Ultimate Hands-On Hadoop: Tame your Big Data! **课程概述:** 本课程旨在帮助学员系统地掌握 Hadoop 生态系统中的核心技术,并通过动手实践解决实际业务问题。课程由前亚马逊和 IMDb 的工程师兼高级经理教授,内容涵盖超过 25 种技术,总时长超过 14 小时。 **核心内容:** * **Hadoop 核心:** 深入理解 Hadoop 的基本原理,学习 HDFS(分布式文件系统)和 MapReduce 的使用。 * **数据处理与分析:** 学习使用 Pig 和 Spark 进行数据分析和编程。 * **数据存储与查询:** 掌握 Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, 和 Presto 等工具进行数据存储和查询。 * **分布式系统整合:** 学习如何将 Hadoop 与各种分布式系统集成。 * **集群管理:** 了解 YARN, Mesos, Zookeeper, Oozie, Zeppelin, 和 Hue 在集群管理中的作用。 * **实时数据处理:** 学习使用 Kafka, Flume, Spark Streaming, Flink, 和 Storm 处理实时流数据。 * **实际部署:** 在本地桌面安装并操作 Hortonworks(现 Cloudera 的一部分)和 Ambari UI。 **课程特色:** * **内容全面:** 涵盖 Hadoop 生态系统中的绝大多数核心技术。 * **实践导向:** 提供大量动手实践和练习,让学员获得实际经验。 * **循序渐进:** 适合不同水平的学习者,从了解术语到编写复杂脚本。 * **就业导向:** 学习这些技能对进入大数据行业至关重要,对求职非常有帮助。 **目标学员:** * 希望了解大数据技术并应用于实际项目的项目经理。 * 愿意通过命令行操作大数据系统的技术人员。 * 希望在 Hadoop 系统上使用 Scala, Pig Latin, 和 Python 编写脚本的程序员。 **学习收获:** * 对 Hadoop 及其相关分布式系统有深入的理解。 * 能够将 Hadoop 应用于解决实际业务问题。 * 获得有价值的结业证书。 **特别提示:** 本课程侧重于应用开发,而非 Hadoop 管理。 **课程评价(摘录):** * (Aldo Serrano)“本课程对我来说是一次关键的发现……我成功找到了一份大数据工程师的工作。” * (Tyler Buck)“如果没有这门课,我不会有今天的成就……Frank 将复杂的问题简单化,并且在整个过程中给予指导。”

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课程详情

The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems!Learn and master the most popular data engineering technologies in this comprehensive course, taught by a former engineer and senior manager from Amazon and IMDb. We'll go way beyond Hadoop itself, and dive into all sorts of distributed systems you may need to integrate with.Install and work with a real Hadoop installation right on your desktop with Hortonworks (now part of Cloudera) and the Ambari UIManage big data on a cluster with HDFS and MapReduceWrite programs to analyze data on Hadoop with Pig and SparkStore and query your data with Sqoop, Hive, MySQL, HBase, Cassandra, MongoDB, Drill, Phoenix, and PrestoDesign real-world systems using the Hadoop ecosystemLearn how your cluster is managed with YARN, Mesos, Zookeeper, Oozie, Zeppelin, and HueHandle streaming data in real time with Kafka, Flume, Spark Streaming, Flink, and StormSpark and Hadoop developers are hugely valued at companies with large amounts of data; these are very marketable skills to learn.Almost every large company you might want to work at uses Hadoop in some way, including Amazon, Ebay, Facebook, Google, LinkedIn, IBM, Spotify, Twitter, and Yahoo! And it's not just technology companies that need Hadoop; even the New York Times uses Hadoop for processing images.This course is comprehensive, covering over 25 different technologies in over 14 hours of video lectures. It's filled with hands-on activities and exercises, so you get some real experience in using Hadoop - it's not just theory.You'll find a range of activities in this course for people at every level. If you're a project manager who just wants to learn the buzzwords, there are web UI's for many of the activities in the course that require no programming knowledge. If you're comfortable with command lines, we'll show you how to work with them too. And if you're a programmer, I'll challenge you with writing real scripts on a Hadoop system using Scala, Pig Latin, and Python.You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end! Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.Knowing how to wrangle "big data" is an incredibly valuable skill for today's top tech employers. Don't be left behind - enroll now!"The Ultimate Hands-On Hadoop.was a crucial discovery for me. I supplemented your course with a bunch of literature and conferences until I managed to land an interview. I can proudly say that I landed a job as a Big Data Engineer around a year after I started your course. Thanks so much for all the great content you have generated and the crystal clear explanations. " - Aldo Serrano"I honestly wouldn't be where I am now without this course. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment. This course helped me achieve a far greater understanding of the environment and its capabilities. Frank makes the complex simple by helping you through the process every step of the way. Highly recommended and worth your time especially the Spark environment." - Tyler Buck

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