课程
Build Streaming Data Pipelines on Google Cloud
中级技能水平
更新时间 2026年5月
Google CloudCloud3 小时 32 分钟25 练习1,450 经验值成就声明
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先决条件
本课程无先修要求1
Course introduction
This module introduces the fundamentals of building streaming data pipelines on Google Cloud, providing a foundation for the entire course. It begins by outlining the course's overall learning objectives and introducing a practical, hands-on scenario that will be used throughout the content and labs to make the concepts tangible.
2
Streaming use cases and reference architectures
This module provides an introduction to streaming data use cases and architectures. You will learn about the applications and common architectural patterns for real-time data processing across four key scenarios: Streaming ETL, Streaming AI/ML, Streaming Application, and Reverse ETL.
3
Product deep dives
This module provides a comprehensive overview of building streaming data pipelines on Google Cloud, covering the core services for messaging, processing, and analysis. It's designed to give you a hands-on understanding of how these components work together in a cohesive, real-time architecture.
4
Key takeaways
This module provides a comprehensive wrap-up of the course, summarizing the key concepts you've learned for building resilient and robust streaming data pipelines on Google Cloud.
Build Streaming Data Pipelines on Google Cloud
课程完成 加入超过19百万学习者，今天就开始Build Streaming Data Pipelines on Google Cloud！
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继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。
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