Uploaded on Oct 6, 2026
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What Is Medallion Architecture in
Azure Data Engineering?
What Is Medallion Architecture?
• A layered data architecture for organizing and processing data efficiently.
• Commonly uses Bronze, Silver, and Gold layers.
• Transforms raw data into trusted, business-ready information.
• Supports scalable data engineering and analytics workloads.
• Works with Azure Data Lake Storage, Azure Databricks, and Microsoft
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Why Use Medallion Architecture?
• Separates raw, refined, and business-ready data into clear stages.
• Improves data quality through progressive transformation.
• Makes data pipelines easier to develop, monitor, and troubleshoot.
• Reduces the risk of changing or losing original source data.
• Supports reporting, analytics, machine learning, and AI workloads.
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Bronze Layer – Raw Data
• Stores data in its original or near-original form.
• Ingests structured, semi-structured, and unstructured data from multiple
sources.
• Performs minimal transformation during ingestion.
• Preserves historical data for auditing and future reprocessing.
• Azure Data Lake Storage Gen2 is commonly used as the storage foundation.
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Silver Layer – Cleaned & Refined Data
• Processes Bronze data to improve quality and consistency.
• Removes duplicates, handles missing values, and standardizes formats.
• Applies data validation and business rules.
• Creates reliable datasets that can be reused across multiple workloads.
• Azure Databricks and Delta Lake can efficiently manage this layer.
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Gold Layer – Business-Ready Data
• Contains highly refined data designed for business consumption.
• Combines and aggregates data to answer specific business questions.
• Creates data marts, analytical tables, and KPI-focused datasets.
• Optimizes data for dashboards, reporting, and advanced analytics.
• Power BI and other analytics tools can consume Gold-layer data.
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How Data Moves Through the Layers
• Data is first ingested from applications, databases, APIs, and files.
• Bronze → Silver focuses on cleaning, validation, and standardization.
• Silver → Gold applies business logic, joins, and aggregations.
• Orchestration tools automate dependencies and pipeline execution.
• Monitoring tracks failures, data quality, latency, and processing performance.
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Medallion Architecture in Azure
• Azure Data Lake Storage Gen2 provides scalable and secure data storage.
• Azure Data Factory can orchestrate ingestion and transformation workflows.
• Azure Databricks enables large-scale Spark processing and Delta Lake
workloads.
• Microsoft Purview supports data discovery, governance, and lineage.
• Power BI turns curated Gold data into interactive business insights.
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Key Benefits & Best Practices
• Maintain the Bronze layer as an immutable historical record whenever
possible.
• Apply strong data-quality checks between every layer.
• Use Delta tables and schema management for reliable data processing.
• Implement security, access control, monitoring, and data governance.
• Design Gold datasets around business needs rather than simply copying
Silver data.
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For More Information About
Azure Data Engineer
Address:- Flat no: 205, 2nd Floor,
Nilagiri Block, Aditya Enclave, Ameerpet,
Hyderabad-16
Ph. No: +91-7032290546
www.visualpath.in
[email protected]
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