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Cambridge Semantics Anzo

  • Automating redundant and labor-intensive tasks to build and manage the graph using metadata and AI
  • Providing easy-to-use workflows to allow a broad and diverse user base to manage the knowledge graph
  • Delivering enterprise scale with AnzoGraph, Anzo’s MPP graph engine and cloud-based automation.

Data Fabric

What Is Data Fabric Design?

  • A data fabric is a design concept that serves as an integrated layer (fabric) of data and connecting processes. The fabric presents an enterprisewide coverage of data across applications that is not constrained by any single platform or tool restrictions.
  • A data fabric follows a metadata-driven approach. Active metadata discovery and semantics inference are key new aspects of a data fabric compared to traditional approaches.
  • A data fabric is composable by design. It is made up of components that can be selected and assembled in various combinations.
  • Designing a data fabric requires understanding your own maturity as well as the maturity of the various components. We recommend starting with leveraging passive metadata, adapting to knowledge graphs, introducing active metadata and, finally, planning the orchestration services.

Passive Metadata Augmented data catalog

Knowledge graphs build a fluid, connected data environment using uniform identifiers, flexible schemas and triples. As a starting point, choose a domain or subdomain that has a well-defined set of data and a use case that will demonstrate impact.

Active Metadata Introduce active metadata by enabling your data fabric to collect, share and analyze all forms of metadata. Feed the results to machine learning models that produce recommendations and automation metrics as output.