Databricks Data + AI Summit 2025

As global energy demands continue to rise, organizations must boost efficiency while staying environmentally responsible. Flogistix uses Sigma and Databricks to build a unified data architecture for real-time, data-driven decisions in vapor recovery systems. With Sigma on the Databricks Data Intelligence Platform, Flogistix gains precise operational insights and identifies optimization opportunities that reduce emissions, streamline workflows, and meet industry regulations. This empowers everyone—from executives to field mechanics—to drive sustainable resource production. Discover how advanced analytics are transforming energy practices for a more responsible future.

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To meet the growing internal demand for accessible, reliable data, TradeStation migrated from fragmented, spreadsheet-driven workflows to a scalable, self-service analytics framework powered by Sigma on Databricks. This transition enabled business and technical users alike to interact with governed data models directly on the lakehouse, eliminating data silos and manual reporting overhead. In brokerage trading operations, the integration supports robust risk management, automates key operational workflows, and centralizes collaboration across teams. By leveraging Sigma’s intuitive interface on top of Databricks’ scalable compute and unified data architecture, TradeStation has accelerated time-to-insight, improved reporting consistency, and empowered teams to operationalize data-driven decisions at scale.

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Faced with the limitations of a legacy, on-prem data stack and scalability bottlenecks in MicroStrategy, Saddle Creek Logistics Services needed a modern solution to handle massive data volumes and accelerate insight delivery. By migrating to a cloud-native architecture powered by Sigma and Databricks, the team achieved significant performance gains and operational efficiency. In this session, Saddle Creek will walk through how they leveraged Databricks’ cloud-native processing engine alongside a unified governance layer through Unity Catalog to streamline and secure downstream analytics in Sigma. Learn how embedded dashboards and near real-time reporting—cutting latency from 9 minutes to just 3 seconds—have empowered data-driven collaboration with external partners and driven a major effort to consolidate over 30,000 reports and objects to under 1,000.

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