Monday, 23 June 2025

Databricks Lakehouse Architecture Explained

Databricks Lakehouse Architecture Explained

Introduction

The Lakehouse architecture combines the best features of data lakes and data warehouses.

Step 1: Bronze Layer

Raw data is stored without transformation.

Step 2: Silver Layer

Cleaned and structured data.

Step 3: Gold Layer

Business-ready aggregated data for analytics.

Conclusion

The Lakehouse architecture provides both performance and flexibility for modern data platforms.

End-to-End Databricks S3 Workflow: Connect, Create Tables, Archive, and Move Files

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