CGV Design Pattern using Automated Delta Live Tables framework and Data Governance using Unity Catalog

As enterprises accelerate toward agentic AI, real-time intelligence, and enterprise-grade governance, traditional data engineering approaches fall short. This whitepaper introduces CGV (Controller Generator & View)—a transformative, metadata-driven framework that delivers Databricks pipeline automation through an automated DLT framework powered by Delta Live Tables and strengthened with Unity Catalog.

Designed for environments managing 10–50 TB of daily CDC data, multi-tenant pipelines, and strict security controls, CGV replaces manual, script-heavy engineering with dynamic automation. It auto-generates pipelines, streamlines CDC ingestion with Autoloader, enforces row- and column-level security, and ensures consistent governance across your data estate reducing development effort by over 90%.

Download the whitepaper to explore how CGV helps you:

• Accelerate delivery with metadata-driven Controller and Generator notebooks
• Implement scalable governance with Unity Catalog, including RLS and masking
• Reduce operational effort while strengthening auditability, lineage, and consistency
• Build a foundation for what’s next—AI-driven anomaly detection, real-time observability, and cross-platform data sharing

Discover how Databricks pipeline automation and automated DLT frameworks can redefine your data engineering.