A multinational logistics and real estate investment company was looking to modernize their architectural landscape which would help them scale and cater to their growing business needs by building on-demand virtual data models using Denodo.
Providing business users with real-time access to integrated data across the organization’s disparate and diverse data sources with speed to market and self-service while doing away with the need to replicate data sources or building out time consuming ETL.
Three primary pillars:
Building Blocks (Canonical) Model – Building reusable, consistent, governed single accessible layer using Denodo Logical Data Warehouse, Data Catalog, Embedded Metadata and Row level security.
Building a Data science Toolkit – Using Denodo microservices architecture, Model input HTTP data body, Model output data API responses and Caching to spend more time on data analysis and building On-Demand Models.
Pipeline based Deployment Model – Using Terraform based automation, CI/CD pipeline and Denodo Config Backup to minimize routine downtime, effective configuration management and disaster recovery.
Denodo virtualized building blocks were focused on business subject areas with consistent definitions across all metrics to deliver faster analysis and insights back to business.
The on-demand data models helped in a quick start of analytics projects, API based models and speed to market.
CI/CD pipelines achieved click-of-Button Denodo deployment, streamlined upgrades, centralized configuration management and eased scaling.