A global fashion brand was growing fast—but its data systems weren’t keeping pace.
Teradata-based ETL pipelines slowed down real-time reporting. Metadata was scattered. Governance felt like guesswork. Integration with BI tools was patchy at best.
The retailer needed a solution that could process fast, scale effortlessly, and adapt to evolving business demands.
That’s when they embraced a modern lakehouse architecture with Netscribes.
We built a modern lakehouse architecture on Azure Databricks—designed for speed, simplicity, and scalability.
Our medallion layer approach (Landing > Bronze > Silver > Gold) ensured clean, traceable data progression. Delta Live Tables replaced legacy ETL with real-time pipelines. Unity Catalog brought centralized governance and seamless access control.
With CI/CD pipelines and cluster tuning in place, performance became a strength—not a struggle.
The retailer now runs on data that’s fast, trusted, and ready for growth.
The transformation wasn’t just technical—it was strategic:
Every step was designed to help the client build a data foundation that grows with the business.
At Netscribes, we help companies move beyond legacy data systems with high-performance, governed, and scalable lakehouse solutions.
Whether you’re aiming for faster insights, smarter governance, or seamless data delivery—we’ve done it, and we can help you do it too.
Explore our data engineering solutions built for governed, scalable, and high-performance data ecosystems.
Download the full case study to see how a modern lakehouse architecture transformed this fashion retailer’s data game.
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AI and Automation
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