A combination of advancements in cognitive computing, graph databases, visualizations, and data discovery have resulted in an amazing reduction in the delivery time of analytics results. Visual querying uses interactive visualizations that enable users to look at and select the relevant data for questions, which allows the underlying systems to write the code necessary to perform analytics. This interesting topic came to us from Inside Big Data in their article, “The Magic of Visual Querying.”
Users can drag and click between objects to intuitively explore their data and discover relationships they didn’t even realize existed. The underlying technologies for visual querying of disparate big data sets involve graph databases, which are significantly enhanced with semantic technologies.
Semantic graphs use ontologies, taxonomies and vocabularies to make it easy to link entities in disparate data sets together using semantic relations and relationship objects. Graph visualizations render those relationships in various ways. The magic is in the way that visualizations enable querying without code and with the simplicity of a click.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
