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    Building a Scalable Medallion Architecture on Singdata Lakehouse

    ·October 31, 2025
    ·9 min read
    Building a Scalable Medallion Architecture on Singdata Lakehouse
    Image Source: unsplash

    You want your data platform to get bigger as you need. A Scalable Medallion Architecture on Singdata Lakehouse helps you do this. You put data into three layers: Bronze, Silver, and Gold. Each layer makes the data better and easier to use. This setup lets you track data clearly and gets it ready for analytics. You get a solid base for handling and studying lots of data.

    Key Takeaways

    • The Scalable Medallion Architecture sorts data into three layers: Bronze, Silver, and Gold. Each layer makes the data better and gets it ready for study.

    • First, make a Fabric Lakehouse and set up the three layers. Plan how data will move between them to match your team's needs.

    • In the Bronze layer, keep raw data in its first form. This helps you watch changes and keep the data safe.

    • The Silver layer fixes and sorts the data. Take out repeats, fill in missing parts, and make sure formats match for easy use.

    • The Gold layer is for final reports and studying data. It gives clean, grouped data ready for dashboards and business ideas.

    Building Scalable Medallion Architecture

    Building Scalable Medallion Architecture
    Image Source: unsplash

    Initial Setup on Singdata Lakehouse

    You begin by making your Fabric Lakehouse. This is the base for your data platform. You set up three layers: Bronze, Silver, and Gold. Each layer does something special. You pick how data moves between layers. Think about what your group needs. A shared platform is not the same as one for many teams. You must pick what works best for you.

    Tip: Pick a partitioning plan that fits your searches. Good partitioning makes your platform faster and helps you find things.

    Here is a simple checklist to help you:

    1. Make your Fabric Lakehouse.

    2. Set up Bronze, Silver, and Gold layers.

    3. Plan how data moves between layers.

    4. Pick tools like pipelines, dataflows, or notebooks for each part.

    5. Set up partitioning and settings for better speed.

    You can use settings to make your setup stronger. For example, you can turn on binary logging for change data capture. You can set unique server IDs for copying data. These settings help you track changes and keep data safe.

    Configuration Setting

    Purpose

    log-bin=mysql-bin

    Turns on binary logging for Change Data Capture.

    server-id=1

    Gives a unique ID for copying and CDC.

    binlog_format=ROW

    Tracks changes in detail.

    binlog_cache_size=1M

    Cuts down disk writes.

    expire_logs_days=7

    Keeps logs for 7 days.

    sync_binlog=1

    Writes logs after each transaction.

    Data Ingestion in Bronze Layer

    You put raw data into the Bronze layer. This layer keeps data in its original form. You can use pipelines, dataflows, or notebooks to move data here. You may work with many types of data models. Some common models are file-based, relational, key-value, time-series, and document models.

    Data Model Type

    Description

    Use Cases

    File-Based Models

    Keeps data in files like JSON, Avro, CSV, or Parquet.

    Good for logs and clickstream data.

    Relational Models

    Puts data in tables, matching the source schema.

    Useful for structured data from databases.

    Key-Value Models

    Saves data as key-value pairs.

    Fast lookups for configuration data or logs.

    Time-Series Models

    Sorts data by time.

    Best for sensor data and money transactions.

    Document Models

    Handles semi-structured data like JSON or XML.

    Works well for API responses or customer profiles.

    You should split your data into smaller pieces. This makes it easier to get and helps it run faster. You can pick columns or rules that fit your needs. When you set up the Bronze layer, you get your data ready for the next step.

    Transformation in Silver Layer

    You use the Silver layer to clean and sort your data. You take out repeats and fill in missing parts. You change raw data into the right types. You put data into columns, tables, and schemas. You make formats for dates and money the same. You can add more data by joining it with other sources.

    Note: Always keep track of where your data comes from and goes. This helps you trust your data and check it later.

    Here are some good tips for the Silver layer:

    • Make data formats the same.

    • Break big changes into small steps.

    • Keep notes for data history.

    • Use partitioning and indexing to make searches faster.

    • Check your data with rules and tests.

    • Add business info and reference data.

    • Watch your setup to make sure it can grow.

    The Silver layer makes data better and easier to use. You fix missing parts, take out repeats, and sort data for easy searching. You check if data is right and matches. You add extra details to your data. You save clean data for the Gold layer.

    Aggregation in Gold Layer

    You use the Gold layer for final reports and analytics. This layer has the best and most grouped data. You make data ready for dashboards, BI tools, and deep analytics. You sum up and change data to fit your needs.

    Aspect

    Description

    Purpose

    Has grouped and ready data for users.

    Data Characteristics

    Data is summed up and set for special uses.

    Use Cases

    Used for dashboards, BI tools, and analytics models.

    You build a dimensional model in the Gold layer. This helps you get clear answers from your data. You make sure the data is clean and ready for business people. You can make your Gold layer bigger as you need. This makes your Scalable Medallion Architecture strong and able to grow.

    Remember: Each layer in the Scalable Medallion Architecture adds value. You start with raw data, clean and sort it, then get it ready for analytics. This helps you handle lots of data and meet new business needs.

    Medallion Layers Explained

    Medallion Layers Explained
    Image Source: pexels

    Bronze Layer Purpose

    You begin with the Bronze Layer. This layer keeps raw data from the source. Every detail stays, so nothing is missing. The Bronze Layer lets you see where data came from. You can check how data changed over time. You load new data in batches or streams. Data is saved in Parquet or JSON formats. These formats are easy to use later. You can split data by time. This makes searching faster and saves money.

    Function/Characteristic

    Description

    Lossless Replication

    You keep all the source data.

    Data Format

    You use Parquet or JSON formats.

    Exporting Data

    You move data to cloud storage.

    Schema

    You follow the source system's schema.

    Data Partitioning

    You split data by when it was added.

    Ingestion Modes

    You can use batch or streaming.

    Artifacts and Data Products

    You keep scripts and files with your data.

    Tip: The Bronze Layer lets you look back at old data. You can always see the original data if you need it.

    Silver Layer Transformation

    The Silver Layer helps you clean and shape data. You fix mistakes and fill in missing parts. You change formats so everything matches. You join data from different places to make it better. You put data into tables and columns that fit your business. You keep notes about changes to trust your data. The Silver Layer gets your data ready for deeper study.

    • Remove repeats and mistakes.

    • Make formats for dates, numbers, and text the same.

    • Join data from many places.

    • Add business rules and extra info.

    • Track changes for trust.

    Note: The Silver Layer makes data easier to use. It helps you find answers faster.

    Gold Layer Analytics

    You use the Gold Layer for reports and analytics. This layer has grouped data ready for business. You build dashboards and reports here. You can see trends and totals quickly. The Gold Layer helps with advanced analytics and charts. You get fast answers because data is already set up.

    Characteristic

    Description

    Aggregated Data

    You sum up data for quick searches.

    Enriched Data

    You add business rules and special logic.

    Business-Level Aggregation

    You group data for your business needs.

    Denormalized Structure

    You set up data for fast searches.

    Query Optimization

    You use indexing and partitioning for speed.

    • Summarize data for key numbers and reports.

    • Use company rules and math.

    • Merge datasets for a full view.

    • Use indexing and caching for quick results.

    The Gold Layer gives you the best data for making choices. You can grow your Scalable Medallion Architecture as your needs get bigger.

    Benefits for Singdata Lakehouse

    Scalability and Performance

    You want your data platform to grow with your business. The Scalable Medallion Architecture helps you handle more data without slowing down. You can store raw data in the Bronze Layer, clean it in the Silver Layer, and prepare it for business in the Gold Layer. Each layer has a clear job, so you can add more data or users as needed.

    • Bronze Layer: Keeps raw data from your sources.

    • Silver Layer: Cleans and fixes your data.

    • Gold Layer: Gives you the best data for reports.

    This setup lets you work with lots of data. You can keep your platform quick and steady, even when things change.

    Data Quality and Trust

    You need to trust your data. The layers in this architecture help you keep data clean and safe. You can see where your data comes from and how it changes. Each layer uses rules for data formats and access.

    • You see where your data started and changed.

    • You set up who can use data at each layer.

    • You follow rules for changing data, so checking is easy.

    • You make it simple to follow safety and rules by keeping data steps clear.

    Note: Good data management helps you follow rules and keep your data safe.

    Analytics Readiness

    You want answers from your data, fast. This architecture gets your data ready for analytics at every step. You move from raw data to business-ready insights.

    Layer

    Description

    Benefits

    Bronze

    Raw data storage

    Easy to collect and store new data

    Silver

    Cleaned and enriched data

    Better quality and more reliable results

    Gold

    Business-ready data

    Quick insights and smarter decisions

    You can get real-time access to all types of data. You keep your data quality high and follow good rules. You also get help for transactions that keep your data correct. This makes your analytics faster and more reliable.

    The Scalable Medallion Architecture gives you a strong base for growth, trust, and smart choices.

    You get good data quality, easy growth, and better analytics with Medallion Architecture on Singdata Lakehouse. This way helps you save, fix, and get data ready for smart choices. As time goes on, you notice these good things:

    Benefit

    Description

    Improved Governance

    Makes rules and safety easier with clear data steps.

    Enhanced Collaboration

    Helps data teams and business users work together.

    Reduced Technical Debt

    Cuts down on extra copies and mix-ups, so moving later is easier.

    Reliable Data

    Helps you make smart choices and build products faster.

    Adaptability

    Lets you use new tech and meet changing needs.

    To keep your system working well, you can:

    Begin by checking your setup or start a small test. Keep making your architecture better so it fits your business goals.

    FAQ

    What is the Medallion Architecture?

    The Medallion Architecture puts data into three groups. These groups are Bronze, Silver, and Gold. Each group makes the data better. This helps you use the data for reports and analytics.

    How do you move data between layers?

    You can use pipelines, dataflows, or notebooks to move data. You make rules for each step. You write down changes and keep records. This helps you trust your data more.

    Why should you partition your data?

    Partitioning breaks data into smaller parts. This makes searches faster and helps your system run better. You also save money on storage and make things easier to handle.

    Can you use streaming data in Singdata Lakehouse?

    Yes, you can use streaming data here. You can set up batch or streaming in the Bronze layer. This gives you real-time updates and keeps your data new.

    What benefits do you get from the Gold layer?

    The Gold layer gives you data ready for dashboards and analytics. You can see trends and totals fast. You make better choices with clean, grouped data.

    See Also

    A Comprehensive Guide To Safely Link Superset With Singdata Lakehouse

    Enhancing Dataset Freshness By Integrating PowerBI With Singdata Lakehouse

    The Crucial Role Of Lakehouses In Modern Data Environments

    Grasping The Fundamentals Of Cloud Data Architecture

    How Iceberg And Parquet Revolutionize Data Lake Efficiency

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