Does your data lake need semantics

on: July 12, 2016, by: Ann Kelly

Adding semantics to your data lake can easily transform and unify all of the unstructured and structured information available to the enterprise and query it in real-time. This valuable information is used by organizations to provide critical business intelligence that answers complex questions.

In order to get value out of data lakes organizations need:

  • Semantics for consistent taxonomy
  • Meta-data management
  • Linking or integration of data – so silos are no longer silos
  • Curation, provenance and known quality of the data.

Smartlogic has the tools and technologies to help organizations turn data lakes into semantic information repositories, which organizations use to improve information management, drive governance and workflows and make key business decisions.

Our ontology management, auto classification and semantic search enhancement tools allow organizations to unify all information, structured and unstructured, internal and external with precise, complete and consistent metadata to answer questions they could not answer before.

Including semantic technologies can address many of the issues inherent in data lakes if an organization needs to rapidly answer complex, real world questions that require the unification of disparate data internal as well as external to an organization (Jan Aasman, Franz).

To learn more about semantics and data lakes read Jan Aasman’s article

To learn more about Semaphore, Smartlogic’s semantic platform check out our product page

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