Loading your IRIS Data to your Google Cloud Big Query Data Warehouse and keeping it current can be a hassle with bulky Commercial Third Party Off The Shelf ETL platforms, but made dead simple using the iris2bq utility.

Let's say IRIS is contributing to workload for a Hospital system, routing DICOM images, ingesting HL7 messages, posting FHIR resources, or pushing CCDA's to next provider in a transition of care. Natively, IRIS persists these objects in various stages of the pipeline via the nature of the business processes and anything you included along the way. Lets send that up to Google Big Query to augment and compliment the rest of our Data Warehouse data and ETL (Extract Transform Load) or ELT (Extract Load Transform) to our hearts desire.

A reference architecture diagram may be worth a thousand words, but 3 bullet points may work out a little bit better:

• It exports the data from IRIS into DataFrames
• It saves them into GCS as .avro to keep the schema along the data: this will avoid to specify/create the BigQuery table schema beforehands.
• It starts BigQuery jobs to import those .avro into the respective BigQuery tables you specify.

Hi,

I have been working on a csp page and trying to export it to excel using the standard activex object. I would like to know if it is possible to export the table on the page with formatting to excel? Thank you in advance for any insight.

Thank you,

Subba.

I am sending an HTTP request to cache class:

If you're interested in building a browser-based CRUD application for maintaining data on IRIS, check out the detailed, step-by-step tutorial at:

https://github.com/robtweed/qewd-microservices-examples/blob/master/WIND...

To get a preview of the application you'll build in the tutorial, along with background on its technology stack, watch this video:

https://www.youtube.com/watch?v=d-NICYqv_2s

Internally we use splunk for monitoring applications and network.

Does Ensemble have a way of exposing internal metrics and/or a way of exposing custom built metrics?

I've used Deepsee dashboards in the past to monitor Apache Tomcat/Apache Camel/hawtio using JMX rest calls. This is the other way around and ideally I'd like to expose metrics on:

Imagine you want to see what InterSystems can give you in terms of data analytics. You studied the theory and now you want some practice. Fortunately, InterSystems provides a project that contains some good examples: Samples BI. Start with the README file, skipping anything associated with Docker, and go straight to the step-by-step installation. Launch a virtual instance, install IRIS there, follow the instructions for installing Samples BI, and then impress the boss with beautiful charts and tables. So far so good.

Inevitably, though, you’ll need to make changes.

I decided to write this down before time wiped out my memory
It's a very personal story as a partner, as a competitor, as an employee,
as a customer and finally as an external observer of InterSystems.

Globals in Caché / Ensemble / IRIS are normally invisible over SQL access
This example shows how to overcome this limit.

Hello,

I'm using Cache 2016.

I try to get a property set in my server response header.

I tried to get it in %request and %response but without success ...

Some one have an idea ?

Here an example of what i try to get :

Thank you

Sébastien

There is a large file that needs to be processed, with over 500 000 rows. Each row needs to be verified for various data and then all the results collated and reported into a single report. What is the most efficient way to do this? I tried calling the processing function with Job , where each function jobbed off would report results to a different node of a common global. But the jobbed functions are not updating their respective rows even though I am passing the global name and root node. What is the most efficient way to process this large file?

Productions often need to receive REST requests.

Here's how to do that.

1. Create proxy Service:

/// Empty BS we would use to send Produciton requests
Class production.ProxyService Extends Ens.BusinessService
{
}

2. Add it to production as RESTService (or any other name).

Hi Community,
In this article I will demonstrate the usage of InterSystems Embedded Python, We will cover below topics:

I see this available as an option on Docker Hub:

What ARM platform(s) is it designed for? When I saw it available, I rather hoped it might work on a Raspberry Pi but it failed to start!

docker pull store/intersystems/iris-community-arm64:2020.4.0.524.0

Does anyone in the developer community have experience implementing a customized SDA3 container within HealthShare? There is a course on the learning site (ISC1086) that discusses how to do this, but it's currently listed as "coming soon" and I'm hoping to find some documentation.