Build Batch Data Pipelines on Google Cloud

Mastering Batch Processing on GCP

For data engineers looking to move beyond basic workflows, this intermediate-level course provides a deep dive into the architecture of robust batch processing. Instead of just running scripts, you will learn how to manage the entire lifecycle of a data pipeline within the Google Cloud ecosystem.

Key Learning Areas:

• Transformation Engines: Hands-on experience with Dataflow and Serverless Spark for large-scale operations.
• Data Integrity: Techniques for validation, cleansing, and managing schema evolution.
• Operational Reliability: Strategies for error handling and complex orchestration using Cloud Composer.

This is an essential resource for professionals aiming to build scalable, production-ready data architectures that can handle evolving data structures and complex processing requirements.