What's New in DataFlux Data Management Studio 2.9
Overview
This update to DataFlux Data Management Studio 2.9:
- Critical Changes
- Updates the Supported Databases for Data Storage
- Makes DataFlux Web Studio No Longer Available
- Adds Changes to the Loqate Node
- Requires Java 8
- Adding Custom JDBC Connections (Experimental)
Critical Changes
If you are using one of the following SAS products, see the corresponding topic for that product in the SASĀ® 9.4 Guide to Software Updates and Product Changes.
- SAS Business Data Network
- SAS Visual Process Orchestration and Server
- SAS Data Management Console
- DataFlux Web Studio and Server
- DataFlux Authentication Server
Updates the Supported Databases for Data Storage
The supported databases for data storage have been updated. For more information, see Supported Databases for Data Storage.
Makes DataFlux Web Studio No Longer Available
DataFlux Web Studio is a web interface for some features in DataFlux Data Management Studio. DataFlux Web Studio is no longer available with SAS offerings as of SAS 9.4 M7, due to the end-of-life for Adobe Flash. The latest SAS offerings include replacements for DataFlux Web Studio components that were used to manage reference domains and to monitor the quality of data jobs.
For more information, see SAS Visual SAS Visual Analytics Report Used to Monitor Data Quality and SAS Reference Data Manager.
Adds Changes to the Loqate Node
The following United Kingdom-specific output fields have been added to the Loqate node:
- AddressKey
- DPS
- OrganizationKey
- TradCounty
- TradNumber
The ENHANCED advanced property, which enables these output fields, has also been added to the node. For more information, see Loqate Node Inputs and Outputs.
Requires Java 8
DataFlux Data Management Studio 2.9 requires Java 8. See Java Requirement.
Adds Custom Connections to JDBC drivers (Experimental)
You can use the Custom Connection dialog to add a user-defined connection for a database that using a JDBC driver. You are responsible for obtaining the JDBC driver jar file and adding it to the DataFlux Data Management Platform java classpath. See Adding Custom JDBC Connections (Experimental).