The need to rapidly integrate and exchange data of all types among varying systems, applications and infrastructure has never been more pressing. Organizations can no longer content themselves with tools exclusively rooted in relational technologies. KM World brought this news to us in their article, “Disrupting the data landscape again with linked open data.”
Big data is often attributed with (or blamed for, depending on who is talking) shattering the historical process whereby organizations would only use methods designed for a single relational database. Now unstructured data analysis is needed for big data, along with relational methods to achieve findability.
Data analytics and data science techniques are becoming common approaches to processing big data. These tools, once accessible only to the experts creating them, are now available for use by non-tech businesses and other organizations.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.