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Sypherlink Releases Version 6 of Harvester Application


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Sypherlink, Inc., a data integration software and NIEM (national information exchange model) compliance provider, recently announced enhancements to its core Harvester software application version 6. Harvester is an application that accelerates information integration and data sharing by automating the discovery and mapping process. Now, Version 6 offers a new component, Harvester Integrator, to provide data movement capabilities, including extracting, transforming and loading (ETL) data into target applications. This new component is available in a cloud-ready platform, providing customers a solution for accelerating their data integration projects while reducing project costs and related risk.

"The initial focus of Harvester was on data discovery, profiling, and mapping of sources to targets. This is when the patented heuristic-matching technology was developed," James Paat, CEO of Sypherlink, tells 5 Minute Briefing. "Now, with version 6, Harvester is addressing additional steps in the data conversion process by including ETL technology. Harvester Integrator provides the ability to do ETL design and data movement, and now has a knowledge hub or repository in which the transformation logic of specific ETL jobs can be stored."

Additionally, Harvester 6 is "cloud-ready" and can be deployed on a distributed computing platform using multi-server, multi-threaded resources to distribute the processing required to complete a job or set of data transformations.

Besides the new ETL technology, Harvester 6 also offers new functionality for improved collaboration, improved mapping, and new reporting options. Harvester's metadata repository support for Oracle and SQL Server gives users the ability to better support collaboration on projects involving enterprise databases. Generate Profile Run functionality provides mappers/analysts exactly the right data needed to understand the source system data. And new canned reports are now available to assist with the pre-ETL process flow, including schema reports, table summary reports, and source mapping reports.

For more information, go here.


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