Apache Beam Google Data Flow (Python) Hands on course

所在平台: Udemy

课程主页: https://www.udemy.com/course/apache-beam/

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**课程名称:** Apache Beam (Python) 实战:Google Dataflow **课程概述:** 本课程是为希望学习 Apache Beam 的初学者设计的 Python 实战课程。Apache Beam 被认为是大数据技术的未来,用于构建大数据管道。课程还将重点介绍 Google Cloud Dataflow,这是目前使用 Google Cloud 构建大数据管道的热门方式。 课程包含丰富的实操练习,帮助学员熟练掌握 Apache Beam 的各项主题。主要内容包括: * **架构** * **转换 (Transformations)** * **Side Inputs/Outputs** * **使用 Google Pub/Sub 进行流处理** * **流处理中的窗口 (Windows)** * **处理延迟数据 (Late elements)** * **触发器 (Triggers)** * **Google Cloud Dataflow** * **Beam SQL / GCP 上的 Beam SQL** 完成本课程后,学员将能够自信地将 Apache Beam 应用于实际工作环境。 **课程特色:** * **简洁高效:** 仅需 3 小时即可完成。 * **内容全面:** 覆盖所有相关主题。 * **易于理解:** 课件生动有趣,易于理解。 **为什么 Apache Beam 是大数据技术的未来?** 1. **跨平台兼容:** 可运行在 Spark、Flink、Google Dataflow 等主流大数据引擎之上。 2. **巨头支持:** 被 Google 等大型科技公司广泛采用。 3. **解决迁移痛点:** 有效解决在一个处理引擎向另一个引擎迁移和统一数据处理的行业难题。 如果您想学习未来的大数据技术,那么本课程将是您的理想选择。

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课程详情

Apache Beam is future of Big Data technology and is used to build big data pipelines. This course is designed for beginners who want to learn how to use Apache Beam using python language. It also covers google cloud dataflow which is hottest way to build big data pipelines nowadays using Google cloud.This course consist of various hands on to get you comfortable with various topics in Apache Beam.This course will introduce various topics:ArchitectureTransformationsSide Inputs/OutputsStreaming with Google PubSubWindows in StreamingHandling Late elementsUsing TriggersGoogle Cloud DataflowBeam SQL / Beam SQL on GCPBy the end of this course, you will find yourself ready to start using Apache Beam in real work environment.What make this course unique - it's concise that's in only 3 hours you will be able to complete it, covers all relevant topics and slides and presentations are really very exciting and easy to understand.Why Apache beam is future of Big Data?1. It runs on top of popular big data engine like spark, flink, Google data flow.2. It is used by big giant like Google.3. It solves the industry biggest problem of migration and unification from one processing engine to another.So if you want to learn future technology , then you are right place.

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