We are developing some containarized cloud application level iris instances and using CPF Merge to do a lot of the initial buildout for the iris instance (i.e. create databases, namespaces, map globals/routines, ecp setup, etc...)

I am trying to figure out how to get package mappings into a namespace config, via cpf merge if possible... ?

This is the document I am working from to develop the cpf merge file -

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We have a situation where we want to save the patient photo (or any other attachment) received via FHIR to a persistent property without decoding it. When it is sent out again using FHIR is is stored in the encoded format and need not be encoded. We do not need to decode it for our application. We always use it on another system that retrieves it or saves it via FHIR and therefore it is always received or sent embedded in JSON.

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Hi All, We have been using DeepSee which has been the integrated Analytic Dashboard built over Cache Cubes. It works fine but it's visual capabilities are limited and most probably is getting phased out. If I am not wrong, Tableau is the suggested alternative to DeepSee . It is expensive and a big and considerable shift from existing technology I wanted to get an opinion of the community as to these few key points - What other BI tools others have been using with IRIS and what have been their experience - For which tools are the best inbuilt support / api's avaialble in IRIS

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I am currently running a docker image with Iris 2021.1 and I would like to install node js on to it. I have had a look at the instructions on the intersystems online learning portal and I must say its very confusing. Some of the documentation says that you can only install it on 2019. Other parts say that it doesn't matter and you can install it if you have a dev directory. I checked my dev directory and there it isn't there. Sadly this is very inconsistent. Does anyone know if it is possible to install on the above mentioned version of Iris ?

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