InterSystems IRIS is a Complete Data Platform
InterSystems IRIS gives you everything you need to capture, share, understand, and act upon your organization’s most valuable asset – your data.
As a complete platform, InterSystems IRIS eliminates the need to integrate multiple development technologies. Applications require less code, fewer system resources, and less maintenance.
Did anyone run into this error when stopping a Production from Ens.Director?
Ens.Director::StopProduction => ERROR <Ens>ErrProductionNotQuiescent: IRIS can not become quiescent
It happens sporadically when an automated unit test from a class that extends %UnitTest.TestProduction runs a test on a Business Process. I already increased the parameter MAXWAIT to 30 seconds, but the error still happens.
Hi Community!
We're pleased to invite you to the upcoming "Speed Test: ESG Labs Database Performance Test" webinar on August 5 at 9:30 AM EDT!
Join our live webinar with Mike Leone, senior analyst with Enterprise Strategy Group’s Validation Services, to learn about a speed test that measures and compares the concurrent real-time data ingest and query performance of InterSystems IRIS® data platform, a leading in-memory database, a cloud relational database, and a traditional relational database.
Hi
I want to download the iris-facial-recognition application but the download link returns an HTTP 404 error.
Any ideas why?
Nigel
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IRIS is an excellent option for machine learning projects with massive data operation scenarios, because the following reasons:
Hi Developers,
The new video from Global Summit 2019 is available on InterSystems Developers YouTube:
This is the third post of a series explaining how to create an end-to-end Machine Learning system.
When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline? Training could mean all the development process of a machine learning model OR the specific point in all development process that uses training data and results in a machine learning model.
Hi Developers!
As you know the application errors live in ^ERRORS global. They appear there if you call:
d e.Log() in a Catch section of Try-Catch.
With @Robert Cemper's approach, you can now use SQL to examine it.
Inspired by Robert's module I introduced a simple IRIS Analytics module which shows these errors in a dashboard:
During my search for a snapshot of a persistent object,
I met a feature that I would like to share as it could be useful in some special situations.
My trigger was to have a before- and an after-image during unit testing.
Hi Devs!
A few months ago I raised a discussion on the naming convention for ZPM modules.
And you free to put your name or your organization name for the packages you want to have your personal or company's brand.
But if you contribute to community, we suggested to have "community." package for all such libraries.
But the name is too long.
What if we use "isc." instead? Which can be read as "isc ->InterSystemsCommunity". Short and unique.
What do you think?
Setting up Management Portal Help Pages for Full WebServers
On each page of the System Management Portal, there is a “Help” button. This takes users to an article in documentation that describes the page functionality and use.
Caché provides local documentation for all of these articles.
InterSystems IRIS does not provide local documentation. Instead, the Help button will redirect users to the articles in the online documentation at docs.intersystems.com.
My VS Code plugin "InterSystems Objectscript" upgraded to version 0.8.7 but the server settings no longer visible in extension settings and can no longer connect to our InterSystems server.
What has chnaged and how do we set the server connectio up? I checked the JSON file and it still has the settings as it was before but it is not connecting.
Hi Community!
We're pleased to invite you to the Online Meetup with the Winners of the InterSystems IRIS AI Programming Contest!
Date & Time: Friday, July 24, 2020 – 11:00 EDT
What awaits you at this virtual Meetup?
Preview releases are now available for the 2020.3 version of InterSystems IRIS, IRIS for Health, and IRIS Studio!
The build number for these releases is 2020.3.0.200.0.
Container images, components, and evaluation license keys are available via the WRC's preview download site.
Community Edition containers can also be pulled from the Docker store using the following commands:
docker pull store/intersystems/iris-community:2020.3.0.200.0
docker pull store/intersystems/iris-community-arm64:2020.3.0.200.0
docker pull store/intersystems/irishealth-community:2020.3.0.200.0
The offer of ZPM is growing daily and the short names and
acronyms of the offer are sometimes hard to understand and
also hard to type with my lazy fingers.
So I decided to have
It runs with do ^zpmshow
A snapshot from the screen:
USER>d ^zpmshow
This article is a continuation of Deploying InterSystems IRIS solution on GKE Using GitHub Actions, in which, with the help of GitHub Actions pipeline, our zpm-registry was deployed in a Google Kubernetes cluster created by Terraform. In order not to repeat, we’ll take as a starting point that:
Hello Community,
I hope you're going well.
I am programming a daily reporting that will send by e-mail when people will add a dashboard as favorite by clicking on the star :.png)
I asked Intersystems WRC on how to automatically generate a report with some line coding, but I heard there is no way to do this without a headless Browser.
I downloaded google-chrome to use the "--headless" and "--print-to-pdf" function , to print the HTML content of my dashboard into a PDF. ( I will use $ZF function to launch the generation ).
I have to implement a custom query result to be returned using the FHIR Bundle Resource.
I am a novice and not well versed in InterSystems yet so please excuse mistakes due to ignorance.
I have to take the query result and return in a bundle to achieve this I need to:
GA releases are now available for the first version (v1.0) of InterSystems System Alerting and Monitoring (InterSystems SAM for short) InterSystems SAM v1.0 provides a modern monitoring solution for InterSystems IRIS based products. It allows high-level views of clusters and single-node drilled down metrics-visualization together with alerts notifications. This first version provides visualization for more than one hundred InterSystems IRIS kernel metrics, and users can extend the default-supplied Grafana template to their liking. V1.0 is meant to be a simple and intuitive baseline. Help us
Hi Developers!
The InterSystems IRIS AI Contest is over. Thank you all for participating in our IRIS AI Competition!
And now it's time to announce the winners!
A storm of applause goes to these developers and their applications:
This is a sample to use %JSON.Adaptor class available in IRIS to produce a snapshot of your object.
The sample consists of 2 classes that are variations of what was known in Caché/SAMPLES as Sample.Person.
Be aware that the possibilities are limited by %JSON.Adapter and how you make use of it.
Once in place, you create some test data by Populate().
You select an object and take a snapshot.
You apply changes to your object and take another snapshot.
And see the difference.
BINGO!
It's also an example of a customized SystemFunction extension (ZZISJSON) in Caché & IRIS
This time it is to be included in %ZLANGF00.mac
A JSON string is mostly imported from a file or over REST
You rely on a clean and compatible structure. This is the check.
required: ZPretty.mac
demo
t's also an example for a customized command extension (ZZJSON) in IRIS
IRIS has a nice %JSON.Formatter class.
But for debugging it is not really handy.
see:
ZWRITE js1
js1="{""Name"":""Cunningham,John C."",""SSN"":""294-11-9150"",""DOB"":""1933-01-08"",""Home"":{""Street"":""4249 Ash Street"",""City"":""Tampa"",""State"":""MD"",""Zip"":""30176""},""FavoriteColors"":\[""White"",""Red"",""Green""]}"
so you proceed for the most simple case
This is my introduction to a series of posts explaining how to create an end-to-end Machine Learning system.
Our IRIS Development Community has several posts without tags or wrong tagged. As the posts keep growing the organization of each tag and the experience of any community member browsing the subjects tends to decrease.
We can think some usual solutions for this scenario, like:
Hey Developers!
This week is a voting week for the InterSystems IRIS AI Programming Contest!
So, it's time to give your vote to the best AI- and ML-enabled solution on InterSystems IRIS!
🔥 You decide: VOTING IS HERE 🔥
How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.
IRIS and Caché / Ensemble offer the possibility to add Languages Extension as SystemFunctions, SystemVariables, SystemCommands
The related documentation tells you where to add the system-wide extension. Parameter passing is not covered explicitly.
Currently, the process of using machine learning is difficult and requires excessive consumption of data scientist services. AutoML technology was created to assist organizations in reducing this complexity and the dependence on specialized ML personnel.
AutoML allows the user to point to a data set, select the subject of interest (feature) and set the variables that affect the subject (labels). From there, the user informs the model name and then creates his predictive or data classification model based on machine learning.
Hi Developers,
Please welcome the new video, specially recorded by @José Pereira for the InterSystems IRIS AI Programming Contest:
GA releases are now published for the 2020.2 version of InterSystems IRIS, IRIS for Health, and IRIS Studio!
A full set of containers for these products are available from the WRC Software Distribution site, including community editions of InterSystems IRIS and IRIS for Health.
The build number for these releases is 2020.2.0.211.0.
InterSystems IRIS Data Platform 2020.2 provides an important security update with the following enhancements:
This is the second post of a series explaining how to create an end-to-end Machine Learning system.
The InterSystems IRIS already has what we need to explore the data: an SQL Engine! For people who used to explore data in csv or text files this could help to accelerate this step. Basically we explore all the data to understand the intersection (joins) which should help to create a dataset prepared to be used by a machine learning algorithm.