Medallion Architecture Explained | Bronze, Silver & Gold Layers in Data Engineering — Transcript
Full transcript
- 0:00What is a medallion architecture? A
- 0:02medallion architecture is a modern data
- 0:04design pattern used in lake house
- 0:05systems in order to organize and
- 0:07transform data in a structured and
- 0:09progressive way. The core idea is that
- 0:11data moves through three logical layers,
- 0:14bronze, silver, and gold, where each
- 0:16layer improves the quality, structure,
- 0:19and usability of the data. Instead of
- 0:21treating all data the same, this
- 0:22approach ensures that the raw data is
- 0:24first captured, refined, and finally
- 0:26transformed into a business-ready
- 0:28insights that can drive reporting,
- 0:31analytics, or decision making. The
- 0:32journey begins with bronze layer where
- 0:34the data is ingested from various source
- 0:37systems such as the databases,
- 0:39applications, or APIs in its raw and
- 0:41unprocessed form. At this stage, the
- 0:43structure of data closely mirrors the
- 0:45source system and minimal
- 0:47transformations are applied. The main
- 0:49purpose of this layer is to ensure
- 0:50complete data capture, maintain
- 0:52historical records, and enable
- 0:53traceability. It also stores important
- 0:55metadata like ingestion timestamp, load
- 0:58details, which helps in auditing and
- 1:00reprocessing if needed. In simple terms,
- 1:02bronze layer acts as a reliable raw data
- 1:05repository. Once the data is stored in
- 1:07bronze layer, it moves into silver layer
- 1:09where the real transformation begins.
- 1:11Here, the data is cleaned, standardized,
- 1:14deduplicated, and combined from multiple
- 1:16sources in order to get a consistent and
- 1:18trustworthy data set. This layer focuses
- 1:21on resolving data quality issues and
- 1:23building a more unified and enterprise
- 1:25view of key business entities such as
- 1:27customers, products, and transactions.
- 1:29The silver layer is mainly used by data
- 1:30engineers, analysts, and data scientists
- 1:33because it provides a clean and reliable
- 1:35data for further analysis. Finally, the
- 1:37data reaches to the gold layer which is
- 1:39the most refined and business-focused
- 1:41stage of the architecture. In this
- 1:43layer, data is structured specifically
- 1:44for reporting, dashboards, and advanced
- 1:46analytics use cases. It is often highly
- 1:49aggregated and modeled in a way that
- 1:51reduces complexity, typically using star
- 1:53schema or data mart designs. Gold layer
- 1:55is where business users interact with
- 1:57data to generate insights for areas like
- 1:59sales performance, customer behavior,
- 2:01operational efficiency, or financial
- 2:03reporting. It is optimized for fast
- 2:05querying and decision making, making it
- 2:07the final and the most valuable output
- 2:09of the entire pipeline. Overall,
- 2:11Matillion architecture ensures that the
- 2:13data is systematically improved as it
- 2:15flows through each layer, transforming
- 2:17from raw ingestion to actionable
- 2:19intelligence. This approach not only
- 2:20improves data quality and governance,
- 2:22but also makes data systems more
- 2:24actionable, scalable, maintainable, and
- 2:27efficient for modern analytics needs. If
- 2:29you found this useful, stay tuned.
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