The current method for adding columns and changing their Data Content type (value, average, min, max, etc) is clunky and time consuming.  You can only change (or add) one column at a time, and you have to wait for the data view to refresh after each change.

Ideally, I would like to have the ability to switch from the default UI (Column headers with real data) to a configuration UI that has a more tabular configuraiton layout or a layout similar to AF. 

I want to be able to select multiple data items and change them all to be "Average" instead of "Value".  I want to be able to rename one column and then quickly move on and rename another without having to wait for any sort of delay or processing.  Ideally, I'd like to be able to export the configuration to JSON or csv, edit it, and then import it as well.

This would greatly speed up the views that I publish that require average values for all of the tag data

When a PI View is deleted from the Integrator User Interface, the Publication Metadata and target data tables are both deleted for that view. For a view with a non-PI View target such as a SQL target, however, only the Publication Metadata table is deleted. The Integrator will no longer consider that view name to be reserved after deleting the view, but using that name again for a new view with the same target requires us to manually delete the target table if there is a change to the shape or we do not want to append to the existing data table. It would be great to have an option to decide whether to delete the target data table as well when a view is deleted.

Please provide a silent installation capability for PI Integrators. A preferred implementation would be a command line approach (as opposed to a silent ini). This allows for the install to be execute via a command prompt or via PowerShell where configuration settings are passed as command line arguments as is done currently with the integrated PI Server install kit. An ability to export the command syntax from the PI Integrator install kit would be an added bonus. (Example of the specific implementation can be found on page 294 of the PI Server 2018 Installation and Upgrade Guide.)

An extension to this request would be the ability to also programmatically configure the PI Integrator post installation. This would allow the PI Integrator to be completely installed and configured in an automated fashion. This would lend itself to an Infrastructure-as-Code approach typically employed in Azure and AWS deployments. The main objective is to get a PI Integrator installation as close to operational readiness without the requirement of GUI based configuration. This aids in setting up the "plumbing" to get the Integrator to a functional state with the minimal amount of manual user intervention.

The Integrator for BA appears to be a great fit for exporting event-based data such as Batch Interface Messages to external systems. Interpolation doesn’t apply in these cases so we can use a tag as the ‘Key’ in value mode selection.
However, there are cases where a tag can have multiple entries at a given timestamp (e.g. EMDVB Recipe Parameter Downloads) and the current behavior is to only include the first value in the output view. This approach results in missing data and makes the integrator unusable in these cases.
Ideally the view would return all records (as per PI OLEDB) or provide a selection to allow the user decide how it should behave

I would like the option to remove or disable the "PI View" target on the Data Warehouse, Azure, and SAP Hana editions. 

In these editions, the PIIntegratorDB is expected to remain small because the data is published out to a separate database.  The problem, however, is that users may accidentally publish very large views to the "PI View" target instead of, for example, Azure Data Lake.  This can fill up drive space on the SQL server and prevent the Integrator (or other services that rely on that SQL server) from running.

For these editions, most users will not be publishing to PI Views, so we should have the option to remove that target.