강의
Build Batch Data Pipelines on Google Cloud
중급스킬 수준
업데이트됨 2026. 5.
Google CloudCloud2시간 6분50 연습 문제2,700 XP수료 증명서
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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
강의 완료
19백만 명의 학습자와 함께 오늘 Build Batch Data Pipelines on Google Cloud을 시작하세요!
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