VDataTechies

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 15, Roles, Medallion Architecture Roles in a medallion architecture include data engineers who build and maintain the systems, data scientists who perform analytics, and compliance and audit teams who ensure data governance and track transformations. In addition, roles like Center of Excellence (COE), IT, and BI teams provide overall analytics oversight, while Fabric administrators manage the underlying infrastructure.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 14, Data Governance & The Gold Layer, Medallion Architecture Data governance is applied to the Medallion architecture's Gold Layer by creating a final, business-ready data product that is curated, aggregated, and optimized for analytics and reporting, ensuring data quality and consistency through its refined state. The Gold Layer applies data governance by transforming data into a trusted, semantically meaningful layer that meets specific business requirements, which is then used by downstream analytics, BI tools, and machine learning models. This final layer acts as a single source of truth, as data has been validated and cleansed through the preceding Bronze and Silver layers. Data Governance is absolutely critical in the Gold Layer because this is where data becomes a production asset used for decision-making. Mistakes, inconsistencies, or security lapses here have direct business consequences.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 13, Optimizing the Gold Layer for Performance, Medallion Architecture To optimize the Gold Layer, focus on data modeling with denormalized, read-optimized structures like star schemas, pre-computing aggregations, and using storage optimizations like Delta Lake's OPTIMIZE and ZORDER (if applicable). For query performance, partition the data by relevant high-cardinality fields and configure tables for efficient reads by enabling vorder and optimizeWrite, and setting an appropriate binSize. Optimizing the Gold Layer is critical because this is where the most expensive queries run, directly impacting the performance of dashboards, reports, and data science workloads that business users rely on. Poor performance here is immediately visible and damaging to trust. The goal is to pre-compute, pre-join, and pre-aggregate as much as possible to make read operations incredibly fast.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 12, Gold Layer 101: The Curated View, Medallion Architecture The gold layer, or curated view, is the final stage of the Medallion Architecture, a design pattern for organizing data in a lake house. At this stage, data is highly refined, aggregated, and optimized for business analytics, reporting, and machine learning. The Gold layer is a curated, business-level view of the data, optimized for specific consumption patterns like reporting, dashboards, and machine learning. It's where data is transformed into insight.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 11, From Silver to Gold: The Final Step, Medallion Architecture The final step from the Silver to Gold layer in Medallion Architecture is to curate and aggregate the cleaned data into a format optimized for reporting, dashboards, and business analytics. This involves creating business-ready, high-quality datasets by applying specific transformations, structuring data into schemas like star schemas, and aggregating it to meet downstream requirements, whereas the Silver layer contains more generalized, cleansed data. This is a key concept that connects data engineering to business intelligence.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 10, Silver's Role in Self-Service Analytics, Medallion Architecture In the medallion architecture, the Silver layer refines the raw data from the Bronze layer to create a standardized, cleansed, and conformed Enterprise view of key business entities. This layer is crucial for enabling self-service analytics by providing a reliable, trustworthy, and consolidated data source for analysts, data scientists, and other data consumers. The Silver layer is the critical enabler for successful and scalable self-service analytics. It sits at the perfect intersection of raw data access and business-ready data, making it the foundation for a data marketplace within an organization. The Silver layer is the bridge, transforming raw data chaos (Bronze) into trusted, structured datasets that analysts, data scientists, and BI users can easily explore without engineering help.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 9, Enterprise Data Model, Medallion Architecture Creating the Enterprise Data Model (EDM) is the foundational process of designing a unified, integrated, and standardized view of an organization's data. It's the blueprint that aligns technical implementation with business strategy. To create the enterprise data model in the silver layer of a medallion architecture, clean, validate, and standardize the raw data from the bronze layer to create a conformed, reliable enterprise view. The process involves transforming data to ensure consistent data types, handle nulls, deduplicate records using business keys, and enrich it with metadata like load timestamps. This is achieved by using data transformation frameworks like Spark or dbt to apply just-enough cleaning techniques, with the resulting data stored in formats like Delta Lake or Parquet for downstream use.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 8,  Cleaning and Conforming in Silver Layer, Medallion Architecture The Silver layer of a medallion architecture is where raw data from the Bronze layer is cleansed, conformed, and enriched, progressively improving its structure and quality. This process transforms messy, raw data into a reliable and validated dataset that is ready for analytics and machine learning applications. The Silver layer acts as a validation and conformity layer, transforming raw data from the Bronze layer into a clean, structured, and reliable source for enterprise-wide analytics. It is a critical intermediate step that enhances data quality and prepares it for deeper analysis in the final Gold layer.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 7, Bronze To Silver Layer Transition, Medallion Architecture The Bronze to Silver Transition refers to the flow of data from the bronze layer to the silver layer in a medallion architecture, which is a data design pattern that progressively improves data quality through three distinct layers: bronze, silver, and gold. In this transition, the bronze layer holds raw, unfiltered data, and the silver layer stores the cleansed, validated, and standardized version of that data, ready for further processing. Core Philosophy From Just Captured to Cleaned & Usable A) Bronze (Raw): The what we received layer. Its goal is immutability and preservation. B) Silver (Cleaned/Validated): The what it means layer. Its goal is to create a reliable, query-ready dataset. The transition is fundamentally about applying Data Quality, Integrity, and Business Logic to the raw data.

#VdatatechiesTechTalk – Learning Series 4 helps anyone progress from beginner to advanced in medallion architecture concepts as it teaches a standardized, scalable approach to managing data quality and governance in modern data lake houses. By understanding and implementing this multi-layered framework, we can improve data integrity and streamline analytics pipelines for a wide range of business applications. (Data Engineer, Data Modeler and Data Architect). #VdatatechiesTechTalk Series 4 – Day 6, Bronze for Auditing & Reprocessing, Medallion Architecture The Bronze layer in a Medallion Architecture is designed specifically for auditing and reprocessing by serving as the immutable, raw landing zone for all ingested data. By preserving data in its original state, it provides a foundational source of truth for the entire data pipeline. In the Medallion architecture, the bronze layer is the entry point for all raw, unprocessed data and is the foundation for auditing and reprocessing. Its purpose is to ingest and store data in its original format, ensuring that a complete, immutable record is always available.