Inferifi’s Post

🚀 Embracing Medallion Architecture with Delta Lake 🚀 In the modern data landscape, organizations face the challenge of transforming vast amounts of raw data into actionable insights. That's where Medallion Architecture comes in, revolutionizing how we handle data with its structured approach. 🔹 Bronze Layer: This layer serves as the foundation, capturing all raw data from various sources. It's where we store unfiltered data, ensuring we have a comprehensive dataset for future transformations. 🔹 Silver Layer: Here, we refine and enrich the data. This stage focuses on cleaning, validating, and integrating data, making it more reliable and ready for analysis. 🔹 Gold Layer: This is the pinnacle of data processing, providing curated and high-quality datasets tailored for business intelligence and analytics. It’s where stakeholders can access the insights they need to drive informed decisions. By utilizing Delta Lake with the Medallion Architecture, organizations benefit from: - ACID Transactions: Ensuring data reliability and consistency. - Scalability: Seamlessly handling both batch and streaming data. - Data Quality: Maintaining high standards through structured transformations. For a deeper dive into how Medallion Architecture can enhance your data strategy, I highly recommend checking out the insightful Delta Lake blog post: https://lnkd.in/d4zHVPeG Let’s harness the power of structured data to unlock new opportunities! 💡🌟 #DataArchitecture #MedallionArchitecture #DeltaLake #DataEngineering #BigData #Analytics

Medallion Architecture, featuring its Bronze, Silver, and Gold layers, provides a structured approach to data organization, transformation, and consumption. It highlights incremental improvement, flexibility, and governance, creating a solid foundation for advanced analytics and machine learning. While Medallion Architecture is a design pattern for data organization, it is not a specific data model. It is not dimensional, data vault, or relational. Instead, a system built with Medallion Architecture can incorporate files/tables designed with any of these modeling principles. This architecture is versatile and can be integrated into various data management ecosystems, including data warehouses, data lakes, and lake houses. Explore Jun Shan's insightful article on Medium to learn more about what Medallion Architecture is, why it's important, and how it's applied: https://lnkd.in/eEX-w_vz #MedallionArchitecture #DataManagement #Data

🚀 Understanding Medallion Architecture in Data Engineering 🚀 In the world of data engineering, managing large volumes of data effectively is crucial for deriving actionable insights. One approach that stands out is the Medallion Architecture. This layered approach ensures that data is clean, curated, and ready for advanced analytics. 🔍 Bronze Layer: This is where it all begins—raw, unprocessed data is ingested and stored as-is. It provides flexibility for reprocessing and serves as the single source of truth. 🔧 Silver Layer: Here, data is refined, cleansed, and structured. This layer removes duplicates, corrects errors, and enriches the data, making it ready for analytics and business logic. 🏅 Gold Layer: The final stop in the Medallion Architecture—highly curated, business-ready datasets. This layer is optimized for reporting, advanced analytics, and decision-making processes. By following this structured approach, we ensure data integrity, maintain flexibility, and create a scalable foundation for insightful analytics. #DataEngineering #MedallionArchitecture #BigData #DataAnalytics #Azure

Is more always better? In our latest blog post, we explore the impact of adding a 'Platinum' layer to Medallion Architecture. Read our latest to learn if this is the right move for your data strategy: https://lnkd.in/gmT2K93U . While additional layers like 'Platinum' can seem like a step forward, they often introduce unnecessary complexity, increased maintenance costs, and potential performance bottlenecks. In this blog, we dive into the practical trade-offs and explain why scaling your architecture efficiently— without over-engineering —can be a smarter approach for long-term success. . Curious about how this might apply to your own business? Get in touch to see how we can help optimise your data architecture without unnecessary complexity. . #DNXSolutions #AWSPartner #DataArchitecture #MedallionArchitecture #CloudStrategy #DataAnalytics #TechInsights #BusinessIntelligence #DataManagement #DigitalTransformation Allyson Caruso , Gregory Taylor, Adam Beavis, Chantelle Conway, Gurpreet Sethi, Kelly Griffin, Salman Rahman, Patricia Bronizio, Helder Klemp, Gerardo A. Estaba, David Mercovich

Discover how the medallion architecture framework helps organizations manage, refine, and enrich data for smarter decision-making. Each layer – bronze, silver, and gold – ensures data is leveraged to its full potential. Read our latest blog to learn how to optimize your data strategy: https://bit.ly/41HILKc #DataArchitecture #Lakehouse #MedallionArchitecture

If you haven't started considering your data platform strategy, now is the time to ask yourself why. Discover how Microsoft Fabric and a robust data platform can revolutionise your business and prepare you for the future of AI and advanced intelligence. #Fabric #Data #AI #FutureProof #DataPlatform

🔷 Unlocking the Power of Medallion Architecture in Data Engineering 🔷 In the dynamic world of data engineering, the Medallion Architecture (also known as Delta Lake Architecture) emerges as a game-changer! 🛠️ This architecture provides a robust framework for structuring data pipelines, ensuring data quality and reliability at every stage. Let's explore its magic: 🌟 1. Bronze Layer: The Raw Data Reservoir - Description: This is where raw data from various sources lands. Think of it as a treasure trove of untouched information. - Goal: Capture data in its purest form, preserving every detail. - Typical Operations: Ingesting data, enforcing schema, and tracking lineage. 🌟 2. Silver Layer: The Transformation Zone - Description: Here, the raw data is cleaned, validated, and enriched. It's like turning ore into precious metal! - Goal: Transform raw data into structured, usable formats. - Typical Operations: Data cleaning, joining, filtering, and initial aggregations. 🌟 3. Gold Layer: The Golden Repository - Description: The Gold layer houses highly curated, aggregated data, ready for business intelligence and advanced analytics. - Goal: Provide top-notch, business-ready data. - Typical Operations: Data summarization, creating business-specific models, and advanced aggregations. 🌟 Why Medallion Architecture? 1. Data Quality: Ensures top-notch data at every layer. 2. Scalability: Handles massive data volumes seamlessly. 3. Flexibility: Adapts to diverse data sources and processing needs. 4. Compliance: Facilitates robust data governance and regulatory compliance. 🔍 Real-World Impact: - E-commerce: Transform customer data into actionable insights, enhancing user experience and personalization. - Finance: Ensure compliance and generate accurate reports with high-quality, trustworthy data. - Healthcare: Integrate and analyze patient data for better healthcare outcomes. 💬 Join the Conversation: Have you integrated Medallion Architecture in your projects? What challenges did you face? How did it transform your data processes? Let's discuss in the comments! 👇 #DataEngineering #MedallionArchitecture #BigData #DataQuality #DeltaLake #ETL #DataAnalytics #BusinessIntelligence #TechInnovation #DataTransformation

🌟Medallion Architecture In Simple Terms 🌟   Medallion architecture is a game-changer in the world of data analysis. It helps businesses transform raw, unstructured data into refined insights that can be used to make informed decisions and understand customers better. In simpler terms, medallion architecture takes messy data, cleans it up, and turns it into something valuable that businesses can use to make decisions. The architecture consists of three layers: 🥉Bronze, 🥈Silver, and 🥇Gold.   ·     🥉Bronze Layer (Raw Data): Here, we gather data from different sources without changing its original form.   ·    🥈 Silver Layer (Cleansed and Conformed Data): Now, we clean and organize the raw data. We make sure all the data fits together and is easy to understand. This layer helps us do things like analyze trends or make predictions.   ·    🥇 Gold Layer (Curated Business-Level Tables): Finally, we make the data useful for specific projects or tasks. This layer is where we create reports, analyze customer behavior, or make business decisions based on the data. #bigdata #dataanalysis #dataengineer #medallion #data

Intentional light meetings on Fridays gives me time to explore new approaches for our customers. I came across an interesting concept.... multi platform medallion architecture. Meaning, bronze, silver, and gold in Databricks, and introducing another layer platinum on a different platform such as OneLake or Fabric. This approach goes even further with data quality checks and validation giving business users additional trust through more certified curated data. We have seen emerging patterns with very advanced customers who are exploring a platinum layer for internal data products or an internal marketplace. This gives highly sophisticated data teams a way to deliver a certified business purpose aggregation layer to publish data products to internal consumers. Realistically this is at best aspirational and art of possible for most data teams. Prerequisites IMHO would be: 1) existing medallion architecture, optimized with pipelines and CI/CD 2) implemented effective governance for discoverability and compliance, catalog implemented such as Unity Catalog, Collibra, Purview 3) already running an effective modern data mesh/data product architecture with n domains 4) organizational-wide support and ownership to know you are running centralized or decentralized data domains owned by different LOBs / hub and spoke for the long haul.. the next 3+ years 5) self service data processes active for awhile (6-12 months) producing value across the organization 6) cost optimized and way to measure cost and value of data domains and different layers Ideally another layer isnt needed and a self service internal catalog lets data product organizations publish products to consumers giving trust in what is being consumed. Ticking all of the boxes on the above list is hard. >80% of enterprises can maybe say they do 1 or 2 from the above list. It takes ownership and direction at the CDO/CIO level and a lot of sharp experienced builders. Clearly defined priorities, data roles, and great partners to help get it done. It is fun to see new emerging patterns to know what is possible and help our customers execute different approaches to deliver value in their enterprise. I cherish my light Fridays to be able to learn and explore whats next.

Medallion Architecture in Data Engineering In today’s data-driven world, companies are generating tons of data. But how do we make sense of it all? This is where Medallion Architecture comes into play – a way to keep your data organized, clean, and ready for insights. Think of it like a series of filters: Bronze Layer: This is where all the raw, unprocessed data lands. It’s messy, but we keep it all just in case we need it later. Silver Layer: Here, we clean up the data – remove duplicates, correct errors, and make sure everything is consistent. Now, it's usable! Gold Layer: This is where the magic happens! Data from the silver layer is shaped into the perfect form for analytics and reporting – ready for business insights! The goal is simple: move data from chaos to clarity, making sure we extract valuable insights in the process. Medallion Architecture ensures data is always accurate, reliable, and easy to use at every stage. In short: Bronze = Raw, Silver = Clean, Gold = Insights! #DataEngineering #MedallionArchitecture #DataAnalytics #BigData #ETL