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
Data Lake
Raw Data Storage
Store-Index-Retrieve
Tag-Classify-Annotate
Import and Export
Graph Storage
Structured Storage
Flexible and Extensible
Multiple Schemas
Entity and Relationships
Data Pipelines
Computational Framework
Extract-Transform-Load
Extendable Data Processing
Data Exploration
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.
