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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-spark-programming-in-scala/
课程评论：没有评论
**Course Title**: Apache Spark 3 - Scala 入门编程 **Course Overview**: 本课程专为初学者设计，无需任何 Apache Spark 或 Hadoop 基础。课程会详细讲解 Spark 架构与核心概念，帮助您快速上手并掌握课程内容。课程以示例驱动，采用工作坊模式，通过实际编码演示，边学边练，深入理解 Spark 编程，并将其应用于构建数据工程解决方案。 **目标学员**: * 希望使用 Apache Spark 开发数据工程管道和应用程序的软件工程师。 * 负责设计和构建组织数据中心基础设施的数据架构师和数据工程师。 * 虽然不直接参与 Spark 实现，但与一线 Spark 实施人员合作的经理和架构师。 **所用 Spark 版本**: 本课程使用 Apache Spark 3.x 版本，所有代码和示例均在 Apache Spark 3.0.0 开源版本上进行过测试。
This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.About the CourseI am creating Apache Spark 3 - Spark Programming in Scala for Beginners course to help you understand the Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session like approach. We will be taking a live coding approach and explain all the needed concepts along the way.Who should take this Course?I designed this course for software engineers willing to develop a Data Engineering pipeline and application using the Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization's data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level.Spark Version used in the CourseThis Course is using the Apache Spark 3.x. I have tested all the source code and examples used in this Course on Apache Spark 3.0.0 open-source distribution.
