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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-spark-streaming-in-scala/
课程评论：没有评论
**课程名称：** Apache Spark 3 - 使用 Scala 实现实时流处理 **课程概述：** 本课程旨在帮助学员深入理解 Apache Spark 的实时流处理能力，并将其应用于构建实时流处理解决方案。课程采用示例驱动的方式，模拟实际工作流程，通过实时编码讲解所有必需的概念。 **目标学员：** * 希望使用 Apache Spark 开发实时流处理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，但需要与一线 Spark 实施人员合作的团队管理者和架构师。 **使用的 Spark 版本：** 本课程使用 Apache Spark 3.x 版本，所有源代码和示例均在 Apache Spark 3.0.0 开源发行版上进行了测试。
About the CourseI am creating Apache Spark 3 - Real-time Stream Processing using the Scala course to help you understand the Real-time Stream processing using Apache Spark and apply that knowledge to build real-time stream processing 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 Real-time Stream Processing 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.
