Case Study
SkyFare Dynamics, a global airline technology provider, specializes in fare management systems. In a fast-paced market, their outdated data warehouse struggled with high processing costs and slow performance, unable to handle the massive datasets needed for dynamic pricing. This limited their ability to adapt fares to demand shifts, competitor actions, and external factors, costing clients revenue.
Turnover
Company
Industry
Budget
SkyFare enlisted Dateonic, a Databricks consultancy, to replace their costly data warehouse with a cost-efficient Spark cluster on Databricks. Dateonic designed a migration plan, transferring historical booking data to Delta Lake and building real-time pipelines with Delta Live Tables. They implemented MLflow to manage and deploy generative AI models, enabling responsive pricing adjustments based on thousands of variables.
DATEONIC SP. Z O.O. registered at Ludna 2, 00-406 Warsaw, Poland
Copyright © 2025 dateonic.com