Liaison Technologies recently announced that it has effectively enhanced its Contivo data integration and management solution. The newly improved solution now ensures faster time to value, and comes with JSON mapping and native Electronic Document Interchange (EDI) modeling for optimizing Representational State Transfer (ReST) and Service Oriented Architecture (SOA).
In a statement, Larry Mieldezis, COO at Liaison Technologies, said that, “The rise of cloud applications has added incredible complexity to data integration. While integration of A2A and B2B systems was already a challenge, cloud applications and the transition of many traditional B2B systems to the cloud have added a whole new dimension to the mix. As complexity continues to evolve, we’re committed to ensuring that Contivo remains a fluid, scalable solution that can adapt to meet new integration challenges for our customers and for our ecosystem of SaaS (News - Alert) and cloud partners.”
For most integration teams the process of understanding the semantics of data which has to integrated takes weeks. However by leveraging Contivo, integration teams can effectively cut their efforts by 40 percent on the first project while benefiting from a 70 percent reduction in maintenance over time. The newly improved Contivo provides customers with the advantages of increased productivity via improved automation, flexible development, as well as optimized quality and consistency which brings down instances of errors thereby keeping the project on track.
Upgrades to the Contivo data integration and management solution include – improved legacy integrator for enhancing flat-file handling capabilities of Contivo Analyst for delivering international data support and multi-byte character encoding, thus ensuring better error detection and reporting; improved Contivo APIs which also includes a new Java API, offering customers extended programmatic control and data sharing; new repository protocols for including metadata, and enhancements to already existing querying of maps, interfaces, and metadata protocols; greater data integration, data architecture analysis, and reporting capabilities; and Complex Mappings which enable users to query source data via looping associations to non-repeating target groups and fields.