Apache Airflow is the leading open-source platform to programmatically author, schedule, and monitor data pipelines and workflows using Python. Workflows are defined as code (DAGs), making them version-controlled, testable, and reusable. With a rich UI, 100+ built-in operators, dynamic task generation, and native support for cloud providers, Airflow powers ETL/ELT, ML pipelines, and batch jobs at companies like Airbnb, Netflix, and Spotify.

Airflow Application Layout

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InterSystems Developer Community is a community of 25,629 amazing developers
We're a place where InterSystems IRIS programmers learn and share, stay up-to-date, grow together and have fun!

Introduction

In today's rapidly evolving threat landscape, organizations deploying mission-critical applications must implement robust security architectures that protect sensitive data while maintaining high availability and performance. This is especially crucial for enterprises utilizing advanced database management systems like InterSystems IRIS, which often powers applications handling highly sensitive healthcare, financial, or personal data.

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Announcement
· Dec 12, 2025
[Video] SQL Tricks and Tips

Hey Community!

We're happy to share a new video from our InterSystems Developers YouTube:

SQL Tricks and Tips @ Ready 2025

https://www.youtube.com/embed/WjE3JkDU-EU
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Hey Developers,

Enjoy the new video on InterSystems Developers YouTube

Enhancing Customer Engagement with Vector Search - Building a Customer Facing Chatbot @ READY 2025

https://www.youtube.com/embed/T3_TOxVZKwo
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greetings Community!

InterSystems Learning Services is working to identify and create libraries of high-quality learning resources for third-party technologies, platforms, and systems that are part of, integrated with, or commonly used with InterSystems products and technologies. we don't create content for these ourselves, but want to support our clients, external and internal, in learning about them and how to use them.

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Introduction

As AI-driven automation becomes an essential part of modern information systems, integrating AI capabilities into existing platforms should be seamless and efficient. The IRIS Agent project showcases how generative AI can work effortlessly with InterSystems IRIS, leveraging its powerful interoperability framework—without the need to learn Python or build separate AI workflows from scratch.

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Hi, Community!

See how to efficiently validate incoming CDA documents and comply with standards using the cloud-based CDA Validation Service!

Streamlining CDA Data Feed Setup in Health Connect Cloud

https://www.youtube.com/embed/Sd6BpXyWezs?utm_source=youtube&utm_medium=social&utm_campaign=Sd6BpXyWezs
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Article
· Dec 11, 2025 8m read
Supply Chain Orchestration for dummies

Supply Chain refers to a set of processes and activities performed by the company's business areas and its suppliers and partners (stakeholders), from the acquisition of raw materials, through production, to delivery to the end consumer. It can be better managed using SCM solutions with the orchestration of the InterSystems IRIS:

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Article
· Dec 11, 2025 2m read
Reviews on Open Exchange - #60

If one of your packages on OEX receives a review, you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

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Updated 12/09/25

Hi Community,

You can unlock the full potential of InterSystems IRIS—and help your team onboard—with the full range of InterSystems learning resources offered online and in person, for every role in your organization. Developers, system administrators, data analysts, and integrators can quickly get up to speed.

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Updated 12/09/25

Hi Community,

Need to find the most relevant onboarding for your HealthShare Unified Care Record® team? Maximize your team's knowledge and success by diving into this curated list of offerings from InterSystems Learning Services—which includes online and in-person training for a variety of roles in your organization.

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I'm pleased to announce the publication of gj :: dataLoader, a new VS Code extension that simplifies the task of loading data from local CSV files into SQL tables on your InterSystems IRIS servers.

Here's an introductory video:

https://www.youtube.com/embed/XohVoW5rSy4
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Hi Community,

With the General Availability of the 2025.3 release of InterSystems IRIS® data platform, InterSystems IRIS® for Health™, and HealthShare® Health Connect, we are now collecting your ideas for improvement.

If the new release inspired you or highlighted opportunities to enhance the developer experience, please share your suggestions on the InterSystems Ideas Portal - every idea is reviewed by our product teams and can influence future releases.

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What are best practices for JSON transformation in IRIS interoperability? This is for a non-healthcare use case, so any tools we happen to have around FHIR might not be available. The motivating use case is trimming down a verbose and needlessly complex REST API response to feed to an LLM - trying to reduce token usage and maybe get better results from less noisy data.

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The previous article introduced IrisOASTestGen, a tool designed to generate REST API test code for InterSystems IRIS based on OpenAPI 2.0 specifications. It demonstrated how to scaffold test cases using the default templates bundled with OpenAPI Generator.

This follow-up focuses on the next natural step: customizing the generated test code.
By extending the code generation logic with Mustache templates, it becomes possible to express richer semantics, implement CRUD-aware tests, and create more meaningful test suites.

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Hello!
I have the following XML document obtained through a string:

<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<MainDocument xmlns="urn:hl7-org:v3">
<realmCode code="IT"/>
<title>kjbkjkjbkjb</title>
<effectiveTime value="20090905150716"/>
[.....other tags.....]
<versionNumber value="1"/>
<component>
<body>mhvjhjkvhj</body>
<component>
<section>content</section>
<ID>5</ID>

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Modern SQL engines are enormously complex pieces of software. Even when they appear stable and mature, subtle bugs can hide in their optimizers, type systems, predicate evaluation, or execution layers. These bugs rarely announce themselves loudly. Instead, they quietly produce incorrect results, behave inconsistently, or fail abruptly under specific combinations of SQL constructs.

This is precisely why tools like SQLancer exist. SQLancer automatically generates SQL queries and uses logical “oracles” to detect when a database behaves incorrectly. It has revealed hundreds of real bugs in widely used systems such as MySQL, PostgreSQL, SQLite, and DuckDB.

With this in mind, I attempted to bring SQLancer to InterSystems IRIS, starting with the NOREC oracle — a powerful method for detecting optimizer correctness issues. The journey, however, uncovered not just potential SQL correctness problems, but also a surprising number of driver-level and server-level failures that prevented SQLancer from running at full strength.

This article summarizes why SQLancer is important, how the NOREC oracle works, and what unexpected findings appeared while testing IRIS.

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