eccenca proudly releases Corporate Memory 17.04!

Leipzig - 28th April 2017

 

eccenca releases the second Corporate Memory and Corporate Memory SYNC release in 2017.

The highlights of this release are virtual datasets as well as improved access control:

  • Virtual datasets are datasets which are created from the dynamic result of an workflow. This allows for convenient access to lifted and merged datasets without the need for materialization. In addition to that, virtual datasets can be accessed via JDBC in order to query the data with machine clients.
  • Access conditions are now manageable with an overall improved management user interface. Administrators can create, edit and delete requirements, grants and other meta data of an access condition in a comfortable way and without the need to edit configuration files manually.

eccenca Corporate Memory connects existing datasets with new technologies. We bridge the gap between yesterday’s legacy systems, and today’s aggregated data lake. eccenca Corporate Memory manages huge quantities of data with dozens of data sources. It is based on an advanced data discovery model, combining the capabilities of semantic technology and big data scalability with structured data connectivity. This approach enables eccenca to substantially improve access to information. Our solution is most powerful by combining visual knowledge graphs with large data lakes. Corporate Memory extends existing document-based corporate intranets, often containing disparate or silo databases, to include all relevant sources of data. It creates a single and comprehensive repository of the company’s key operational data and metrics.

 

eccenca Corporate Memory SYNC is a data synchronization software to support decentralized data management. It is used to create peer-to-peer data networks for B2B communication scenarios by publishing and/or subscribing graph data. The communication infrastructure is data payload agnostic. The typical payload of the graphs is based on RDF(S) and OWL ontologies, thus following established W3C standards.

© 2017 eccenca GmbH

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