Data Pipeline Architecture at Scale

About this course

Learn strategies for scaling data pipeline architecture in enterprise environments.

• 10 lessons
• 1 h
• advanced

What you'll learn

• Define the key characteristics of a scalable data pipeline architecture
• Identify the trade-offs between batch, streaming, and hybrid processing models
• Compare push-based and pull-based ingestion architectures
• Design ingestion layers that handle schema evolution and backpressure
• Explain how distributed processing engines partition and parallelize data workloads
• Select appropriate processing frameworks based on workload characteristics

Finishing the course

• 40 knowledge-check questions along the way, so you know the ideas stuck before you move on.
• Watching is free and needs no account. Sign in to save your progress. Pass each lesson's quiz (60%+) to earn the certificate. Each certificate has its own public verification link to share, marked quiz-verified.

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