Functional Data Engineering: A Blueprint for Recoverable & Reproducible Data Pipelines
Автор: MindFDev
Загружено: 2026-01-19
Просмотров: 0
Modern data systems break not because of scale but because they can’t recover, recompute, or adapt.
In this video, we explore Functional Data Engineering: a mindset and design approach that brings software engineering principles like reproducibility, determinism, and recomputability into data pipelines.
We walk through:
Why schema-on-read and early data lakes failed
The cultural gap between software and data engineering
Entity vs Event modeling
Time-partitioned data as a foundation
How modern lakehouse systems (Hudi, Iceberg, Delta) enable functional pipelines
Why recomputation is a superpower, not a cost
This isn’t about a new tool or framework.
It’s about designing data systems you can trust, fix, and evolve.
📌 Playlist: The Art of Data Engineering
🎥 Episode: Functional Data Engineering
#FunctionalDataEngineering
#DataEngineering
#DataModeling
#Lakehouse
#ReproduciblePipelines
#DataArchitecture
#SystemsThinking
#ModernDataStack
#EngineeringMindset
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