Administration users and end users can specify the locations to be searched when Dataverse attempts to locate a library node.
The Merge Node is a replacement for the X-Ref node.
The new Join node is a replacement for the existing Join, Join Inner, Join Left, Join Left Inner, Join Right and Join Right Inner nodes. The names of the existing nodes have been changed to have a suffix of '(Superseded)' to distinguish them from the new node.
The Lookup node is a replacement for the existing node which is now named Lookup (Superseded).
The Aggregate node now offers script-free configuration.
The new Transpose node enables users to reshape data without using any code. The data is transposed so that data values in a specified field become the field names of the transposed data.
CSV/ Delimited Node
When the CSV/ Delimited node is configured to read delimited data from an input field, the node can now also obtain the associated field header information from an input field.
S3 List Node
The S3 List node lists objects (files) in a specified S3 bucket.
S3 Get Node
The S3 Get node downloads object(s) i.e. file(s) from a specified S3 bucket.
S3 Put Node
The S3 Put node uploads file(s) to a specified S3 bucket.
S3 Delete Node
The S3 Delete node deletes object(s) in a specified S3 bucket.
This release continues the transition in Dataverse from the proprietary script language to leverage Python. The release introduces further replacement nodes. The previous version of the nodes are now called:
Band by Deviation (Superseded), Duplicate Detection (Superseded), Histogram (Superseded),
Net Present Value (Superseded), Percent Rank (Superseded).
The new ‘Statistics’ node is a replacement for the Quick Stats (Superseded) node and the Standard Deviation (Superseded) node.
Access to Data Quality statistics
The Data Quality statistics and histogram can now be accessed from the ‘Statistics…’ option of the field context menu.
Platform support has been extended to include Windows Server 2016 64-bit.
Dataverse Server is now available for purchase in Amazon Marketplace using a 'Bring Your Own License' model. The Dataverse Automation Server is also available using the pay per hour option.
Improved display for dialog boxes
The size of dialog boxes has been optimized to better align with the height of the browser window.
When working with large data sets (millions of records), the new Python-based nodes generally process data more quickly than the nodes that they have superseded. Additionally, the application is now more responsive when navigating within a data flow which contains errors.
Python API Changes
The following changes have been made to the use of metadata objects in the Python based nodes:
Dataverse metadata objects now implement a todict() accessor.
When an input field reference is removed from the metadata object all items that refer to that input field are removed from the metadata object.
A number of issues have been resolved in this release which fix reported issues with Dataverse nodes, improve the import of legacy data flows, streamline interworking with LDAP and improve application stability. Please see the release notes for further details.
For additional detail please visit this article or the full Release Notes (PDF)