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所在平台: Udemy |
课程主页: https://www.udemy.com/course/solving-10-hadoopable-problems/
课程评论：没有评论
课程名称：解决10个Hadoop可解决的问题 课程概述：Apache Hadoop生态系统是解决大数据问题的流行且强大的工具。在众多竞争工具中，许多用户希望了解哪些特定问题适合使用Hadoop，以及如何实现这些解决方案。了解Hadoop的核心组成部分是了解哪些问题适合Hadoop的良好开端。本课程将介绍在Hadoop上运行的生态系统以及与之一起部署的软件。这些工具为我们构建数据处理应用程序提供了基础构件。 本课程涵盖Hadoop生态系统的核心部分，帮助学员快速理解并上手。接下来，课程将描述多个常见问题作为案例研究项目，Hadoop能够解决这些问题。这些部分根据不同的项目进行划分，每个项目作为解决大数据问题的特定用例。通过本课程的学习，您将接触到各种Hadoop软件及其解决常见大数据问题的示例。 讲师介绍：Tomasz Lelek是一位主要使用Java和Scala编程的软件工程师。他热爱微服务架构和函数式编程，致力于不断提高自己的技能。最近，他深入研究大数据技术，如Apache Spark和Hadoop。他对软件开发几乎所有相关内容充满热情，认为应始终考虑不同的解决方案和方法来解决问题。Tomasz曾在波兰的多个会议上发言，包括Confitura和JDD（Java开发者日），并在克拉科夫的Scala用户组进行了演讲。他还在Geecon会议上进行了实时编码演示。
The Apache Hadoop ecosystem is a popular and powerful tool to solve big data problems. With so many competing tools to process data, many users want to know which particular problems are well suited to Hadoop, and how to implement those solutions. To know what types of problems are Hadoop-able it is good to start with a basic understanding of the core components of Hadoop. You will learn about the ecosystem designed to run on top of Hadoop as well as software that is deployed alongside it. These tools give us the building blocks to build data processing applications. This course covers the core parts of the Hadoop ecosystem, helping to give a broad understanding and get you up-and-running fast. Next, it describes a number of common problems as case-study projects Hadoop is able to solve. These sections are broken down into sections by different projects, each serving as a specific use case for solving big data problems. By the end of this course, you will have been exposed to a wide variety of Hadoop software and examples of how it is used to solve common big data problems. About the Author Tomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to be better every day. Recently, he's been delving into big data technologies such as Apache Spark and Hadoop. He is passionate about nearly everything associated with software development. Tomasz thinks that we should always try to consider different solutions and approaches to solving a problem. Recently, he was a speaker at several conferences in Poland - Confitura and JDD (Java Developer's Day) and also at Krakow Scala User Group. He also conducted a live coding session at Geecon Conference.
