1. Summary

Hi Community!

Are you in Dubai on October 10-13? Join us at the Global DevSlam conference for developers with 15,000 participants expected in person!

📍Let's meet here: Hall 9, Stand № H9-E30

🌟 We will host the event: "The hands-on workshop on InterSystems IRIS Data Platform"
Speaker: @Guillaume Rongier, Sales Engineer at InterSystems
October 10, 2pm - 3:30pm
Register here

❕We have free promo passes for our Community Members, partners, and customers. Please drop me a line if you are willing to attend!

How would you like to be able to access the Web Terminal directly from your VSCode?

Hey community! How are you doing?

I hope to find everyone well, and a happy 2022 to all of you!

Over the years, I've been working on a lot of different projects, and I've been able to find a lot of interesting data.

But, most of the time, the dataset that I used to work with was the customer data. When I started to join the contest in the past couple of years, I began to look for specific web datasets.

I've curated a few data by myself, but I was thinking, "This dataset is enough to help others?"

Hi Community,

Please welcome the new video on InterSystems Developers YouTube:

⏯ FHIR Overview @ Virtual Summit 2020

https://www.youtube.com/embed/KBrvJvJLIXA
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Like hardware hosts, virtual hosts in public and private clouds can develop resource bottlenecks as workloads increase. If you are using and managing InterSystems IRIS instances deployed in public or private clouds, you may have encountered a situation in which addressing performance or other issues requires increasing the capacity of an instance's host (that is, vertically scaling).

Hello, developers!

I would like to share the history of the project - the ZAPM shell.

As soon as ZPM was implemented, I immediately began to think about how best to use it.

And immediately faced with the desire to move more quickly between namespaces, especially when there are more than 20 of them.
I had to leave the ZPM, move to the desired namespace and re-enter the shell.
I suggested an improvement - a new "namespace" command for easier navigation.
I didn’t wait - I did it myself. And so it went. If you need it, get ready to do it yourself.

GA releases are now published for the 2020.3 version of InterSystems IRIS, IRIS for Health, with IntegratedML!

We've just finished the second day of focus sessions - with a LOT of great content! With parallel tracks, it's hard to keep up - but one advantage of a virtual conference is that you can watch anything you missed on-demand!

When you first start working with InterSystems IRIS, it’s a common practice to install a system with only a minimum level of security. You have to enter passwords fewer times and this makes it easier to work with development services and web applications when you're first getting acquainted. And, sometimes, minimal security is more convenient for deploying a developed project or solution.
And yet there comes a moment when you need to move your project out of development, into an Internet environment that’s very likely hostile, and it needs to be tested with the maximum security settings (that is, completely locked down) before being deployed to production. And that’s what we’ll discuss in this article.
For more complete coverage of DBMS security issues in InterSystems Caché, Ensemble, and IRIS, you may want to read my other article, Recommendations on installing the InterSystems Caché DBMS for a production environment.
The security system in InterSystems IRIS is based on the concept of applying different security settings for different categories: users, roles, services, resources, privileges, and applications.

Users can be assigned roles. Users and roles can have privileges on resources — databases, services, and applications — with varying read, write, and use rights. Users and roles can also have SQL privileges on the SQL tables located in databases.

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 Community!

You're very welcome to watch a new video on InterSystems Developers YouTube, recorded by @Stefan Wittmann, InterSystems Product Manager:

InterSystems API Manager Introduction

https://www.youtube.com/embed/vO6kz1G4eVg
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Hi Community,

We're pleased to invite you to the upcoming webinar in Hebrew:

👉 Maximize Your Success with InterSystems Support 👈

📅 Date & time: May 21st, 3:30 PM IDT

We recently uploaded to OpenExchange a small application that I developed a while ago (and that @Jose-Tomas Salvador improved and refined) that I often use when I need to generate large volumes of HL7 messaging.