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#Open Exchange

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InterSystems Data Platform Solutions Open Exchange is a gallery of software solutions, tools, and frameworks which were developed with InterSystems Data Platform (Caché, Ensemble, HealthShare, InterSystems IRIS, InterSystems IRIS for Health) or are intended to help in development, deployment and support the solutions built with InterSystems Data Platform.

You can use any of the published assets or you can publish your own tool, technology example or solution.

Discover Open Exchange.

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?

  • Our winners' bios.
  • Short demos on their applications.
  • A short interview with all the winners about the past contest. Plans for the next contests.

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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:

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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.

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Hi Developers,

Please welcome the new video, specially recorded by @José Pereira for the InterSystems IRIS AI Programming Contest:

⏯ Monitoring your ML model with IntegratedML

https://www.youtube.com/embed/KUjcpp5_a0w
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Hi Community,

Please welcome the new video, specially recorded by @Renato Banzai for the InterSystems IRIS AI Programming Contest:

⏯ IRIS ML Suite Demo

https://www.youtube.com/embed/3-YSnFQnMLU
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A few months ago, I read this interesting article from MIT Technology Review, explaing how COVID-19 pandemic are issuing challenges to IT teams worldwide regarding their machine learning (ML) systems.

Such article inspire me to think about how to deal with performance issues after a ML model was deployed.

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Hey Developers,

New "Coding Talk" video was specially recorded by @Yuri Marx for the InterSystems IRIS AI Programming Contest:

⏯ SAPPHIRE - AutoML UI to InterSystems IntegratedML

https://www.youtube.com/embed/UowONCJzXVo
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As you probably know, InterSystems IRIS has a mechanism for auto-generating methods. So, when you create an index in a class, you create methods that make your work easier. There is also a good article on Community that describes such methods.

Take, for example, IndexNameOpen(val), where IndexName is the name of the corresponding index. This method returns an object in which the value of this index corresponds to the value of val.

But this method is available only for unique indexes.

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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.

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Hi Developers!

Here in Developers Community, we have posts, which are categorized by tags. Tags - are specific topics, which relate to InterSystems products, InterSystems services, or any concept related to software development, deployment, or maintenance etc.

Tag is a helpful thing because it gives the option to follow/subscribe to the tag, filter the search by the tag, understand how popular or not unpopular the topic and more.

And we have a problem!

Actually two problems. The tags for the post are selected by the author of the post, and we have the following issues: the author chooses wrong tags for a post, and the post lacks proper tags.

And we think this problem could be solved with AI/ML approach and so we suggest you solve it during the InterSystems IRIS AI Contest.

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Hi Community!

We are pleased to invite all the developers to the upcoming InterSystems AI Programming Contest Kick-Off Webinar! The topic of this webinar is dedicated to the InterSystems IRIS AI Programming Contest.

On this webinar, we will talk and demo how to use IntegratedML and PythonGateway to build AI solutions using InterSystems IRIS.

Date & Time: Monday, June 29 — 11:00 AM EDT

Speakers:
🗣 @Thomas Dyar, Product Specialist - Machine Learning, InterSystems
🗣 @Eduard Lebedyuk, Sales Engineer, InterSystems

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Hi Developers,

Please welcome the new video, specially recorded by @Zhong.Li for the InterSystems IRIS AI Programming Contest:

⏯ IntegratedML-Template Demo

https://www.youtube.com/embed/YxpMc3sODxk
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Hi Developers,

Please welcome the new coding talk on InterSystems Developers YouTube:

⏯ How to Generate Modules for InterSystems Package Manager (ZPM)

https://www.youtube.com/embed/so42Trye81k
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Hi Community!

We're pleased to invite all the developers to the upcoming "ZPM – Package Manager for InterSystems IRIS" webinar on June 18th at 11:00 AM EDT.

You will learn about the ObjectScript Package Manager Client called ZPM.

Speaker:
@Evgeny Shvarov, InterSystems Developer Ecosystem Manager

What is ZPM and what awaits you at this webinar?

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Hey Developers,

New demo show by InterSystems Sales Engineer @Eduard Lebedyuk is already on InterSystems Developers YouTube:

⏯ PythonGateway-Template Demo

https://www.youtube.com/embed/5KSpSB1Sdbs
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In an earlier article (hope, you’ve read it), we took a look at the CircleCI deployment system, which integrates perfectly with GitHub. Why then would we want to look any further? Well, GitHub has its own CI/CD platform called GitHub Actions, which is worth exploring. With GitHub Actions, you don’t need to rely on some external, albeit cool, service.

In this article we’re going to try using GitHub Actions to deploy the server part of InterSystems Package Manager, ZPM-registry, on Google Kubernetes Engine (GKE).

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Article
· Jun 4, 2020 1m read
Easy data import into IRIS

Sometimes you need quickly and easily import data into IRIS. For this, an IRIS import manager has been developed.

This application allows you to import JSON data and also provides a really simple interface for transferring data from MongoDB collections to IRIS globals. It has never been so easy.

Let's look at examples.

Import JSON

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Hi Community!

This week is a voting week for the InterSystems IRIS Native API Programming Contest! We have 8 applications — so you have a set of applications to choose from!

How to vote? This is easy: you will have one vote, and your vote goes either in Experts Nomination or in Community Nomination.

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Hi Developers,

Please welcome the new video, specially recorded by @Renato Banzai for the InterSystems IRIS Native API Programming Contest:

⏯ IRIS Python Suite: Installing Running and Using

https://www.youtube.com/embed/FFuHP3P-_Fw
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Last time we deployed a simple IRIS application to the Google Cloud. Now we’re going to deploy the same project to Amazon Web Services using its Elastic Kubernetes Service (EKS).

We assume you’ve already forked the IRIS project to your own private repository. It’s called <username>/my-objectscript-rest-docker-template in this article. <root_repo_dir> is its root directory.

Before getting started, install the AWS command-line interface and, for Kubernetes cluster creation, eksctl, a simple CLI utility. For AWS you can try to use aws2, but you’ll need to set aws2 usage in kube config file as described here.

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