04
Build Batch Data Pipelines on Google Cloud
04
Build Batch Data Pipelines on Google Cloud
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In this intermediate course, you will learn to design, build, and optimize robust batch data pipelines on Google Cloud. Moving beyond fundamental data handling, you will explore large-scale data transformations and efficient workflow orchestration, essential for timely business intelligence and critical reporting.
Get hands-on practice using Dataflow for Apache Beam and Serverless for Apache Spark (Dataproc Serverless) for implementation, and tackle crucial considerations for data quality, monitoring, and alerting to ensure pipeline reliability and operational excellence. A basic knowledge of data warehousing, ETL/ELT, SQL, Python, and Google Cloud concepts is recommended.
Course Info
Objectives
- Determine whether batch data pipelines are the correct choice for your business use case.
- Design and build scalable batch data pipelines for high-volume ingestion and transformation.
- Implement data quality controls within batch pipelines to ensure data integrity.
- Orchestrate, manage, and monitor batch data pipeline workflows, implementing error handling and observability using logging and monitoring tools.
Prerequisites
Basic proficiency with Data Warehousing and ETL/ELT concepts
Basic proficiency in SQL
Basic programming knowledge (Python recommended)
Familiarity with gcloud CLI and the Google Cloud console
Familiarity with core Google Cloud concepts and services
Audience
Data Engineers
Data Analysts
Available languages
English, español (Latinoamérica), 日本語, français, português (Brasil), italiano, and 한국어
How do I earn a completion badge?
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Do you prefer learning with an instructor?
View the public classroom schedule here