Building Production Data Pipelines With Medallion Lakehouse Architecture
The traditional data architecture has hit a wall. For decades, organizations faced a painful dilemma:
- Store cheap, unstructured data in a Data Lake, only to watch it devolve into a chaotic "data swamp" with zero governance.
- Or funnel structured data into an expensive Data Warehouse, paying a massive premium for storage and struggling to handle semi-structured JSON, logs, or ML feature sets.
Enter the Lakehouse architecture—unifying the best of both worlds by combining cheap, scalable object storage (like AWS S3, Azure ADLS, or Google Cloud Storage) with transactional reliability (ACID transactions) via open table formats like Delta Lake, Apache Iceberg, or Apache Hudi.
At the core of this pattern is the Medallion Architecture, a data design pattern that logically organizes data into three distinct tiers: Bronze, Silver, and Gold.
Let’s break down how to design, build, and optimize each layer for production scale.
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