How We Strengthened Enterprise Analytics with 85% Enhanced Monitoring Visibility Using an AWS Databricks Lakehouse

Gaps in data visibility across multiple business platforms

The client required a scalable data architecture that could seamlessly integrate and organize information from four mission-critical applications without interrupting daily operations. The solution had to support automated extraction and transformation across Salesforce, NetSuite, Capella, and Zuora while structuring the unified dataset through a Lakehouse model built on bronze, silver, and gold layers. Strong governance was essential, including built-in lineage tracking, quality validation, and secure access controls. To maintain reliability at scale, CI/CD-based deployment was mandatory, all within a six-week delivery window and with no increase in long-term operational burden.

Databricks Lakehouse deployment with automated pipelines & governance

Our experts at zeb led a full implementation to build a governed, future-ready Lakehouse on AWS.

• Lakehouse Architecture Delivery: Designed and established Databricks bronze, silver, and gold layers to support ingestion, processing, and analytics at scale.
• Automated Streaming + Batch Data Pipelines: Developed CI/CD-enabled data pipelines to support continuous extraction, transformation, and enrichment from Salesforce, NetSuite, Capella, and Zuora.
• Embedded Data Governance & Quality Controls: Configured Unity Catalog to activate lineage tracking, security, auditability, and automated data quality validation across datasets.
• Infrastructure-as-Code Documentation: Delivered reproducible deployment patterns for long-term reliability and operational efficiency.

Unified analytics and AI-ready foundation with 85% better monitoring

• Faster Insights from Centralized Data: Teams gained quicker access to trusted, unified information for reporting and decision-making, supported by 73% stronger data protection.
• Reduced Manual Maintenance: Automated CI/CD deployments and built-in validation minimized engineering support needs and long-term cost.
• Positioned for Advanced Analytics and AI: With a governed and scalable Lakehouse in place, the organization is now able to adopt ML/AI workloads without restructuring pipelines or data models, backed by a 65% improved security posture.

As a trusted Databricks partner, zeb helps enterprises consolidate disconnected systems into unified, governed Databricks Lakehouse architectures that improve accessibility, trust, and analytics performance. Partner with us to create a platform that streamlines reporting today and supports advanced AI capabilities for the future.