Virtusa implemented a modern Lakehouse architecture on Azure Databricks to address the client’s data challenges. This solution consolidated over 10 diverse data sources, each containing approximately 1 billion records, with a total data volume of 22TB.

Key components of the solution included:

• Azure Data Factory (ADF): Used for orchestration to streamline data workflows.
• Databricks Delta Tables: Enabled high-speed data processing for ingestion, transformation, and integration.
• PySpark and Python: Facilitated advanced data transformations and accelerated data loading into Azure Synapse (Data Warehouse).
• Medallion Architecture: Implemented a multi-layered data architecture (Bronze, Silver, Gold) to enhance data organization and improve data quality, reliability, and performance across all processing stages.
• Databricks Auto Scaling Clusters: Enabled dynamic scaling of compute resources, optimizing processing speed and reducing operational costs during peak data loads.
• Continuous Integration and Continuous Deployment (CI/CD) Pipelines: Automated the deployment of ETL workflows, reducing manual intervention, minimizing errors, and ensuring timely delivery of critical reports.