Build Batch Data Pipelines on Google Cloud

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Build Batch Data Pipelines on Google Cloud

Coursera · Intermediate ·🔄 Data Engineering ·3mo ago

Skills: ML Pipelines70%

Key Takeaways

Building batch data pipelines on Google Cloud using Dataflow and Apache Beam

Original Description

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.

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