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Build Batch Data Pipelines on Google Cloud

中级技能水平
更新时间 2026年6月
Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.
免费开始课程
Google CloudCloud
2 小时 6 分钟
50 道练习
2,700 XP
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课程描述

This course teaches you to design, build, and operate batch data pipelines on Google Cloud. Topics include large-scale data transformations with Dataflow and Serverless Spark, batch data validation and cleansing, schema evolution, error handling, and pipeline orchestration with Cloud Composer.

先决条件

本课程无先修要求
1

When to choose batch data pipelines

You will learn the critical role of a data engineer in developing and maintaining batch data pipelines, understand their core components and lifecycle, and analyze common challenges in batch data processing. You'll also identify key Google Cloud services that address these challenges.
开始章节
2

Design and build batch data pipelines

You will design scalable batch data pipelines for high-volume data ingestion and transformation. You'll also optimize batch jobs for high throughput and cost-efficiency using various resource management and performance tuning techniques.
开始章节
Build Batch Data Pipelines on Google Cloud
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