A Data Content Management "Platform"
- Handles ingestion of structured and unstructured data regardless of form
- Provides enhanced discovery of content
- Showcases concepts and linking of data not normally detectable via human efforts
- Built-in analytics engine provides means to easily incorporate machine learning and user algorithms
Key Elements of SEAMS
- Raw Data Storage
- Import and Export
- Structured Storage
- Flexible and Extensible
- Multiple Schemas
- Entity and Relationships
- Computational Framework
- Extendable Data Processing
- Find and Retrieve Data
- Schema Agnostic
- Your Data Models
- Explore Data Relationships
The SEAMS platform provides a secure foundation to systematically prepare and extract knowledge from your data in support of existing and new analytics.
Need More Info?
Please feel free to reach out to RJ Lee Group for more information, or to see a quick demo.
At RJ Lee Group, we're a laboratory too, and we use SEAMS big data platform appliance in our data collection.