Innovating Retail Data: Unilever’s Transformation with Databricks DLT
Description
Retail data is expanding at an unprecedented rate, demanding a scalable, cost-efficient, and near real-time architecture. At Unilever, we transformed our data management approach by leveraging Databricks DLT, achieving approximately $500K in cost savings while accelerating computation speeds by 200–500%. By adopting a streaming-driven architecture, we built a system where data flows continuously across processing layers, enabling real-time updates with minimal latency. DLT’s serverless simplicity replaced complex-dependency management, reducing maintenance overhead, and improving pipeline reliability. DLT Direct Publishing further enhanced data segmentation, concurrency, and governance, ensuring efficient and scalable data operations while simplifying workflows. This transformation empowers Unilever to manage data with greater efficiency, scalability, and reduced costs, creating a future-ready infrastructure that evolves with the needs of our retail partners and customers. Talk By: Evan Cherney, Senior Data Science Manager, Unilever Here’s more to explore: Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/data-engineering The Big Book…
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