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DataARCH®

 

 

Data Integration & Mediation


Designed to rapidly integrate disparate data sources through the mediation of multiple data models and ontologies

DataARCH® uses an open standards-based infrastructure to provide a faster and less expensive approach to data integration. Our approach fuses and integrates disparate data sources through data federation by creating alignments between disparate data models or ontologies. DataARCH® offers substantial cost advantages to traditional ETL approaches of data integration and fusion, and provides a suitable technology for Hadoop-based cloud-scale fusion and integration.

  • Enable rapid integration of cloud and non-cloud data sources (i.e. Hadoop-based data with non-Hadoop data), RDBMS, and REST-based services
  • Allow for incremental standards-based vocabulary harmonization versus large slow-moving data working groups
  • Store and retrieve ontologies, vocabulary mappings, federation information, and associated pedigree metadata through the DataARCH® registry
  • Provide publishing capability to expose unified data as a new data source
  • Import, updated and create ontology reference models via the Web Ontology Language (OWL) industry standard format
  • Provide a GUI to browse mappings and ontologies and create mappings between ontologies in the system

 

Ontology Mapping


 

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News


 

July RSUG Meeting:  RSuiteUC17 & RSuite 5.3

We had another useful RSuite User Group Online meeting last week, so here's a quick synopsis for those who missed it. What’s the RSuite User Group?...Read more

RSuite User Conference Sessions Announced!

Orbis has just announced the agenda for this year's RSuite User Conference.  Our dynamic 2-day event features both technical and non-technical...Read more

Orbis Technologies to Showcase AARDVARK and RSuite Enterprise Solutions at MarkLogic Data Integration Summit

Orbis Technologies is a proud sponsor of the upcoming MarkLogic Data Integration Summit to be held on Tuesday, June 20, 2017 in Washington, DC. In...Read more

DataARCH® allows end users to mediate between two databases to enable federated enterprise queries

 

Benefits


 

Icon 1 Data Governance

Working with multiple data models, offering easy governance of both models and model alignments

Icon 2 Data Access and Security 

Inherits the security policies of the underlying storage. Also offers an effortless way to add application level security and access policies

Icon 3 Semantics

Offers a web-enabled layer on the underlying big data storage, implementing open semantic standards such as OWL and RDF

 Icon 4 Schema Mappings   

World Wide Web Consortium (W3C) standards-based ontologies that integrate and align multiple complex data schemas possessing hierarchical and logical relationships

Icon 5.png Data Duplication

DataARCH® keeps data in its native format to avoid problems that can drive up data center operational costs

Icon 6 Interoperability

Confromance with open industry standards to lower costs of managing and integrating enterprise data sources

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