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所在平台: Udemy |
课程主页: https://www.udemy.com/course/apache-spark-programming-in-python-for-beginners/
课程评论：没有评论
**课程总结：PySpark - 面向初学者的 Apache Spark Python 编程** 本课程旨在帮助零 Spark 或 Hadoop 基础的学习者掌握 PySpark，并将其应用于构建数据工程解决方案。课程将深入浅出地讲解 Spark 架构及核心概念，并通过示例驱动、实时编码的方式，帮助您快速上手。 **课程亮点：** * **无需先修知识：** 专为初学者设计，确保零基础也能轻松学习。 * **系统讲解：** 涵盖 Spark 架构和基础概念，夯实理论基础。 * **实践导向：** 采用工作坊模式，通过实时编码和丰富的示例，让理论走出书本，落于实践。 * **目标人群广泛：** 无论您是希望构建数据工程流水线和应用的软件工程师、设计和构建数据中心化基础设施的数据架构师和数据工程师，还是需要理解 Spark 实现机制的管理层和架构师，都能从中获益。 * **最新技术栈：** 课程基于 Apache Spark 3.5 版本，并在Databricks环境中进行实践验证，确保学习内容的先进性和可靠性。 如果您希望深入了解并掌握基于 Python 的 Apache Spark 编程，本课程将是您入门和提升的理想选择。
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 PySpark - Apache Spark Programming in Python for beginners course to help you understand 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 explaining 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 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 3.5. I have tested all the source code and examples used in this Course on Apache Spark 3.5 in the Databricks environment.
