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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hadoop-spark/
课程评论：没有评论
课程名称：Hadoop & Spark 课程概述：Hadoop和“大数据”的世界可能会令人生畏，成百上千种不同技术和模糊的名称构成了Hadoop生态系统。通过这门Hadoop教程，您不仅能了解这些系统及其相互关系，还将动手使用它们解决实际商业问题！大数据分析是一项热门且极具价值的技能，本课程将快速教授您两种大数据的基本技术：MapReduce和Hadoop。对于任何在数据量大的公司工作的人来说，了解Hadoop是一项非常宝贵的技能。几乎每一家您希望工作的知名大公司，如亚马逊、eBay、Facebook、谷歌、LinkedIn、IBM、Spotify、Twitter和雅虎等，都在某种程度上使用Hadoop；不仅是科技公司，甚至《纽约时报》也使用Hadoop来处理图像。此外，您还将学习在使用Scala编程语言时，Spark如何最佳运作，课程中也包括Scala的内容，以帮助您快速入门。本课程旨在为希望学习大数据的软件工程师、数据库管理员和系统管理员提供知识，其他IT专业人士也可以参与，但可能需要进行额外的研究以理解某些概念。完成课程后，您将深刻理解Hadoop及其相关的分布式系统，并能将Hadoop应用于现实问题。 讨论的主题： - 第一部分：介绍 - 第二部分：Hadoop架构 - 第三部分：MapReduce - 第四部分：Spark - 第五部分：Spark编程 - 第六部分：Scala
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! "Big data" analysis is a hot and highly valuable skill - and this course will teach you two technologies fundamental to big data quickly: MapReduce and HadoopUnderstanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.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.Also, you will learn about how Spark works best when using the Scala programming language, and this course also includes Scala to get you up to speed quickly. The course is aimed at Software Engineers, Database Administrators, and System Administrators that want to learn about Big Data. Other IT professionals can also take this course, but might have to do some extra research to understand some of the concepts. Once you complete the it, 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.Below are the topics discussed:-Part 1:- Introduction Part 2:- Hadoop ArchitecturePart 3:- MapReducePart 4:- SparkPart 5:- Spark ProgrammingPart 6:- Scala
