?? Unleashing the Power of Data with a Medallion Architecture for Your Data Lakehouse!

?? When it comes to modern businesses, #data is undoubtedly the driving force behind every decision made. By unlocking insights into customer interactions, data enables companies to optimize user experiences and boost profitability. However, harnessing this power requires careful planning and execution, particularly when creating a #DataLakehouse architecture. ??

?? But what's the best way to strategically organize data before it enters the Lakehouse? That's where the Medallion architecture comes in! A logical data design pattern, the Medallion architecture organizes data in a progressive manner across multiple layers, ensuring higher quality and structure as data moves through each stage. Let's dive deeper into the details of this approach ??

?? First up, let's define some terms:

?? Medallion Architecture: A multi-layered data design pattern used to incrementally improve data structure and quality. Organized from "Bronze" ? "Silver" ? "Gold", guaranteeing ACID properties for efficient analytics. Layers don't necessarily have to reside in the same physical data lake and could exist separately.

Now, let's explore each layer in detail ?? :

1?? Landing/Staging Zone: Optional transient storage location for incoming data. Decoupling direct ingestion from the source system allows for better control over data flow. Useful when dealing with external clients or third-party apps, or handling encrypted data.

?? Key features:

* Stores recent data (typically 3-7 days)

* Supports batch and streaming ingestion

* Accepts varied file formats like CSV, JSON, XML, Parquet, MP3, JPG, ZIP, etc.

2?? Bronze (Raw) Zone: Where unmodified data from external sources lives. Corresponds to source system table structures and retains full history of each dataset. Ideal for historical archiving and reprocessing purposes.

?? Key features:

* Contains unvalidated and immutable data

* Holds structured, semi-structured, or unstructured data in various formats

* Uses interval partitioned tables for efficient storage

* Includes extra metadata like schema info, filenames, processing times, etc.

3?? Silver (Filtered, Cleaned, and Conformed) Zone: Validated and enriched data ready for further analysis. Primarily focused on core business entities, concepts, and transactions.

?? Key features:

* Optimized storage format (Delta or Parquet)

* Defined schemas, cleaned raw data, removed duplicates, applied data quality rules, modified PII, merged datasets

* Serves as a source for BI tools, data engineers, and scientists

4?? Gold (Curated Business-Level Tables) Zone: Highly curated and aggregated data, formatted for consumption. Denormalized, read-optimized data models containing domain-specific tables.

?? Key features:

* Transformed data representing knowledge instead of mere information

* Implementation of complex business rules for post-processing activities

* Well-governed and documented data

5?? (Optional) Sandbox Zone: Working area for advanced analysts and data scientists to conduct experiments and innovate.

?? Key features:

* Encourages creativity and continuous learning

* Implements policies limiting storage capacity and duration

* Input provided by Bronze and Silver zones

#DataAnalytics #DataManagement #DataQuality #DataBricks #Spark #Snowflake #LakehouseArchitecture ??????