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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-data-engineering-in-google-cloud-platform-python/
课程评论：没有评论
**课程名称：** Hands-On Data Engineering in Google Cloud Platform Python **课程概述：** 本课程旨在教授学员如何使用Google Cloud Platform (GCP) 的各种工具，并以Python作为核心编程语言，构建数据工程解决方案。课程将从介绍各个组件的基本用途开始，随后深入演示，详细解释设计选择和背后的原因。通过本课程，学员将能更深入地理解每个组件的功能，并推动团队的数据工程项目。 **涵盖技术栈：** * **GCP集成：** Google Cloud Platform Console, Cloud SDK, Client Libraries * **数据存储/消息队列：** Google Cloud Storage, Google Pub/Sub * **数据库：** Cloud SQL, BigQuery, Bigtable * **数据处理：** Cloud Functions, Cloud Dataflow, Cloud Dataproc **课程亮点：** 课程包含专门设计的实验，将上述所有工具集成在一起，而非仅仅介绍组件的功能。这将帮助学员加速理解，并能立即将其应用于现有的GCP工作流程。课程将提供详细的代码和步骤，通过视频和文章分享，让学员轻松学习。 **课程目标：** * 掌握在GCP中使用Python进行数据工程的核心技能。 * 理解GCP中各种数据服务（存储、数据库、处理）的功能和用途。 * 能够设计和实现数据工程解决方案。 * 加速在实际GCP工作流程中的应用。
You are going to learn about how we can create data engineering solutions in Google Cloud Platform (GCP) using different available tools, mainly using Python as our core programming language. We will start from basic introduction of what each component is mainly used for, then dive straight into demos with detailed explanation on the design choice and reasonings behind. I am confident that you will come out of the course with a better understanding on what each component could possibly do and drive data engineering solutions in your team! There are the list of tech stacks that we will be covering Integrating with GCP Google Cloud Platform Console, Cloud SDK and Client LibrariesData Storage/ Messaging Google Cloud Storage, Google Pub/SubDatabasesCloud SQL, BigQuery, BigtableData Processing Cloud Functions, Cloud Dataflow, Cloud DataprocI have created a few specialised labs to integrate all the tools mentioned above instead of telling you what each component could do! It could help to accelerate your understanding so you can apply on your existing GCP workflow immediately. Detailed code and steps will also be shared in the video as well as self-written articles, so just sit back, relax and enjoy all the demos! Let's get onboard on the cloud journey now!
