How does a leading logistics company manage 15 terabytes of data across multiple systems in near real-time while reducing costs and boosting efficiency? A lift and shift migration of multiple data warehouses into Databricks was just the start. Learn how the company tackled this challenge head-on.
Read the full article by Emerj Artificial Intelligence Research to explore how they partnered with our data experts at NLP Logix to run a Databricks assessment and provided a comprehensive assessment report overview to remediate ways to reduce costs.
Key Article Highlights
• Scalable Data Infrastructure: Learn how the logistics company and its IT leaders centralized fragmented data systems into a flexible, scalable platform using Azure Databricks. By separating compute from storage, they enabled real-time insights, reduced reporting costs, and improved decision-making capabilities.
• AI-Driven Efficiency: Discover how they used AI tools to streamline dashboard creation, automated query corrections, and empowered non-technical stakeholders to interact with complex data easily, accelerating processes and reducing operational costs.
This modern data transformation offers actionable strategies for modernizing data management. Dive into the details and unlock the potential for your organization. Read the full article here.
