Pensieve
Pensieve Data Management Framework
The Pensieve Data Management Framework (PDMF) is an advanced, open-source data management framework designed to streamline the integration, management 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 that related data, scenarios, tools and analytical products are tied together so that users can easily locate and reuse important data assets. The result is a common data framework that is modular to fit current and evolving needs of virtually any organization.
Areas of Expertise
Data Management
User-Driven Experience
Data Integration
Data Centric Approach
Area 5
Area 6
Features and Capabilities
By combining all the key elements into one integrated data management framework, Pensieve allows engineers, scientists, analysts and organizations to function more efficiently. This is done by leveraging their existing valuable data assets across the enterprise, link-related data assets together, manage the evolution of data assets throughout their lifecycle and apply practical and flexible data governance through version controls capturing asset history and heritage.
Features
- Data-centric approach
- Add & update data resources
- Enables keyword, metadata, and full-text search & discovery capabilities
- Local and federated data storage and access
- Ability to relate & link information
- Flexible dynamic filters to meet organizational needs
- Data flow & pipeline automation
- Zero trust architecture for identity & access management
- Data preview / visualization directly from search results
- Easy accessibility through user interface or directly through API
- Wide deployment options: on-premises, cloud, & hybrid
Benefits
- Improved analysis / study mgmt & data transparency through linkage of execution workflows
- Effective and flexible data governance
- Robust cybersecurity through zero trust architecture
- Improved organizational efficiency and collaboration
- Reduced overhead for data exploration and wrangling
- Maximizes data reuse & reduces duplicative development efforts
- Improved data curation efficiency and quality
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