I heard about Message Bank when we started redesigning a Health Connect production to run in containers in the cloud. Since there will be multiple IRIS containers, we were directed to utilize Message Bank as one place to view messages and logs from all containers.

Hi Community,

In a hard work of data curation and data quality, the Health Dataset application deploy to you the above datasets.

These datasets can be used in your ML applications/models, AutoML and analytics projects. See more details here:

InterSystems has also released IRIS as containerized deployments. This post is to demonstrate how InterSystems IRIS and applications those rely on IRIS a backend can be packaged into an image and be run in other machines in containers and how simple it is to do that.

A container runs image/s which have all the necessary executables, binary code, libraries, and configuration files. And the images can be moved from one machine to another, and an images repository like Docker Hub can simplify that process.

I have used an application from Open Exchange for this demo.

Why I've decided to write this

In my last article I've talked about returning values with Python. But returning them is simple, what can make it harder is what I'm going to talk about today: where the value is treated.

Python object in IRIS

Following the example of the last aricle, we have the method:

InterSystems IRIS has quite a few different kinds properties. Let’s put them in order so that they make better sense.

First of all, I would divide them into categories:

• Atomic or simple properties (all those %String, %Integer, %Data and other system or user datatypes)
• References to stored objects
• Built-in objects
• Streams (both binary and character)
• Collections (which are divided into arrays and lists)
• Relationships (one-many and parent-children)

Some of these kinds of properties are quite straightforward. For example, atomic properties:

Property Name As %Name;
Property DoB As %Date
Property Age As %Integer

In this article I'd like to share with you a phenomena that is best you avoid - something you should be aware of when designing your data model (or building your Business Processes) in Caché or in Ensemble (or older HealthShare Health Connect Ensemble-based versions).

Hi developers!

How to build an analytics solution with InterSystems IRIS?

To begin with, let's agree on the points of what is the analytics solution - and this could be a very wide topic. Let's limit the set of solutions to those you can present in the Analytics contest.

There are three kinds of analytics solutions that we will review here: monitoring, interactive analytics, and reporting.

Monitoring

The typical monitoring solution consists of an online dashboard with KPIs that are being actively updated.

The key use case is of monitoring is to visually observe the KPI of fresh data every moment to react in case of an emergency.

Interactive Analytics

This solution supposes a set of interactive dashboards with filters and drill-downs.

The key use case is to explore the data with filters and drill-downs making business decisions upon graph and table data visualization.

Reporting

Reporting solution provides a set of static (usually) reports in a form of HTML or pdf documents that deliver the data in graph and text form in a predesigned form and could be sent via email.

The typical use case of a reporting system is to obtain reports on a given period that will illustrate the status of the product, process, service, sales, etc that is crucial for the business.

How InterSystems products could be used to build such solutions? Let's discuss this below!

When you install an IRIS or Caché instance on Windows Server, you'll usually need to install it under a specific user account that has network access permissions. This is very handy when you needs to access network resources for creating files or directly accessing printers.

TL;DR: see key takeaways at the bottom!

Globals are the core of the InterSystems IRIS for data persistence. It is flexible, allowing store JSON documents, relational data, object oriented data, OLAP cubes and custom data models, like Mindmaps. To see how to store, delete and get mindmap data using globals, follow these steps:

1. Clone/git pull the repo into any local directory

In this GitHub we fine tune a bert model from HuggingFace on review data like Yelp reviews.

The objective of this GitHub is to simulate a simple use case of Machine Learning in IRIS :
We have an IRIS Operation that, on command, can fetch data from the IRIS DataBase to train an existing model in local, then if the new model is better, the user can override the old one with the new one.
That way, every x days, if the DataBase has been extended by the users for example, you can train the model on the new data or on all the data and choose to keep or let go this new model.

Hi Developers!
Let me share with you some exercises from a workshop about developing interoperability components in Java using PEX (Production EXtension).

You will find slides and step by step exercises about:

• Understanding simple PEX components coded in Java.
• Making some changes on them.

All built using containers, so you don't need to build a local Java environment.

InterSystems FAQ rubric

Information on properties defined in a class can be obtained using the following system classes:

%Dictionary.ClassDefinetion

Hi! recently I have to apply api-key validation to a web app with a lot of endpoints and I'm going to tell you how I did it in a centralized way.

I'm going to explain you how we can apply in a generic way (or not) api-key validation to all the endpoints of our web app.

In this article, I am trying to walk through my deploying step of IAM on my EC2(ubuntu).

What is IAM?

IAM is InterSystems API Manager
you may reference to the link below to get more idea about IAM

https://docs.intersystems.com/components/csp/docbook/Doc.View.cls?KEY=PAGE_apimgr