Data Integration

DataConnect 11.1 Highlights

Actian Corporation

July 19, 2017

DataConnect 11.1 Highlights

I am excited to share news of our most recent release of DataConnect 11.1. This release wraps up a significant phase in that it provides backward-compatible support for our customers who use EDI x12, HIPAA, and HL7 connectors and components. If you use Data Integrator version 9 to process those documents, you can now begin your upgrade to version 11!

Some other enhancements, fixes, and improvements include:

  • Standalone engine for AIX for on-premises deployments.
  • Multi-mode table selector to quickly create schemas and build maps to relational databases.
  • Samples repository project for out-of-the-box, working examples to help you learn new tricks and techniques.
  • Ability to map without being connected to source/target to make “offline” design more effective.

There was also a significant update to our DataCloud DataConnect integration management console in the form of a new user interface. Our goal was to improve the user experience by making it more intuitive for operations teams to configure, monitor, and manage changes in your integrations. We will continue to enhance and expand its functionality with frequent, iterative releases.

As before, you can ‘design once, deploy anywhere’ using DataCloud and run your integrations on the cloud or on-premises.

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About Actian Corporation

Actian makes data easy. Our data platform simplifies how people connect, manage, and analyze data across cloud, hybrid, and on-premises environments. With decades of experience in data management and analytics, Actian delivers high-performance solutions that empower businesses to make data-driven decisions. Actian is recognized by leading analysts and has received industry awards for performance and innovation. Our teams share proven use cases at conferences (e.g., Strata Data) and contribute to open-source projects. On the Actian blog, we cover topics ranging from real-time data ingestion, data analytics, data governance, data management, data quality, data intelligence to AI-driven analytics.