课程
Build Batch Data Pipelines on Google Cloud
中级技能水平
更新时间 2026年5月
Google CloudCloud2 小时 6 分钟50 练习2,700 经验值成就声明
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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.
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.
3
Control data quality in batch data pipelines
You will develop data validation rules and cleansing logic to ensure data quality within batch pipelines. You'll also implement strategies for managing schema evolution and performing data deduplication in large datasets.
4
Orchestrate and monitor batch data pipelines
You will orchestrate complex batch data pipeline workflows for efficient scheduling and lineage tracking. You'll also implement robust error handling, monitoring, and observability for batch data pipelines.
Build Batch 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 Batch Data Pipelines on Google Cloud！
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继续使用 Google显示更多选项或
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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