Pensieve Data Management Framework
The Pensieve data management framework is an advanced, open-source data management framework designed to streamline the integration, management, security and discovery of diverse data assets.
Pensieve delivers the capability to ingest and link data from any accessible data source, including all the digital engineering assets produced through Model-Based System Engineering (MBSE) and Modeling, Simulation and Analysis (MS&A) activities. The linking process ensures related data, scenarios, tools and analytical products are tied together, so users can easily locate and reuse data assets.
Key Capabilities
Data Management
Pensieve enables keyword, metadata, and full-text search and discovery capabilities, reducing overhead for data exploration and wrangling while maximizing data reuse and minimizing duplicative development efforts.
User Driven Experience
Includes customizable metadata capture processes, easy accessibility through Application Programming Interface (API), flexible dynamic filters tailored to organizational needs and data preview or visualization directly from search results.
Data Centric Approach
Pensieve includes a centralized repository for metadata, ability to relate and link information, and improved efficiency and quality in data curation.
Data Integration
The framework supports wide deployment options across on-premises, cloud, and hybrid environments, Extract, Transform, Load (ETL) / Extract, Load, Transform (ELT) processes and APIs for moving and transforming data, and implements a zero-trust architecture for identity and access management.
Trusted Experience
Data-centric approach
Proven experience implementing data-centric strategies ensuring data integrity, accessibility and value across enterprise processes.
Add and update data
Optimized standard processes for data validation, access controls and governance to ensure user-friendly, accurate, consistent and secure data ingestion resulting in reliable data products.
Keyword metadata search capabilities
Enables keyword-based metadata search through centralized cataloging, indexing and tagging to support efficient data discovery, access and reuse.
Local and federated data storage and access
Pensieve supports local and federated storage by integrating distributed sources, ensuring secure access, data consistency and seamless interoperability.
Ability to relate and link information
Establishes relationships across datasets using metadata for deeper insights and improved analysis/study management.
Flexible dynamic filters to meet organizational needs
Implements flexible, dynamic filtering using metadata and user-defined criteria to tailor data views and access based on organizational needs.
Contact Us
To learn more about KBR’s PDMF services contact: Elena Martinez-Endres
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M9462-2025-KBR-09-2025