Duality 4.6: Making Federated Analysis Practical

Duality 4.6 addresses challenges of analyzing distributed data by introducing Data Harmonization and expanded support for Custom Federated Workloads, allowing organizations to conduct federated computations across diverse datasets without restructuring source systems or moving sensitive records. The new Schema Harmonization Tool enables users to map source columns to a common schema, normalize values, and apply harmonization rules at execution time, facilitating a unified analytical view while maintaining data control. Additionally, the platform enhances flexibility by allowing users to independently develop and deploy federated workloads using existing Python-based code, minimizing the need for code refactoring and reducing operational overhead. This approach ensures that organizations can collaborate effectively across fragmented data environments, preserving local governance and existing workflows while participating in shared analytics and AI initiatives. With added features like Parquet File Support, Edge Filtering, and Index Query Optimization, Duality 4.6 simplifies the deployment and scalability of federated analytics, making it easier to integrate into real-world data environments and extract value from distributed data.