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Efficient Data Operations

Seamless data integration, contextual insights,
and modular workflows

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Semantic Discovery: Seamlessly extracting interconnected insights
  • Semantic Discovery Platform: for querying, reporting, and exploration
  • Conversion of unstructured data into actionable knowledge
  • Knowledge Graph inference combined with Gen-AI to make complex
    information more accessible
  • Ontology-Driven AI Search for deeper data contextualization
  • Supporting FAIR principles for data management and data access
  • Configurable knowledge model that can be adjusted dynamically
  • Local deployments leveraging knowledge graph and LLMs in
    proprietary/enterprise confidential environments 

Comprehensive Data Operations

  • Ingest Data for Data Warehouse/Data Lakes/Lakehouse. Structured, Unstructured
  • Batch Ingest with Rapid integration of data sources and complex transformations
  • Real Time, Streaming Data Ingest
  • Data Transformation on-the-fly
  • Data Flow Automation
Lakehouse Unlike traditional data architectures, tcgmcubeTM Lakehouse combines scalability of a data lake with the performance of a data warehouse providing a unified data architecture with seamless integration with AI capabilities.
  • Leverage your existing data lake or build a new one
  • Integrated workflows with metadata-governed data flow
  • Built-in semantic layers and metadata governance, facilitating easier data discovery and contextualization
  • With Gen-AI, traditional AI, and ML integrated, the Lakehouse enables multi-modal analytics
  • Modular by design, enabling different teams to manage their own data domains while maintaining a unified system
  • Multiple Interfaces for Data Dissemination