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Hi,

We’re launching an Early Access Program for an upcoming Table Partitioning feature that will help IRIS customers manage very large tables, and distribute row data and associated indices across databases and storage tiers. Table Partitioning cuts deep into the core of IRIS relational data management, so we want to make sure we get things right through working with a few engaged customers who can provide feedback on the initial deliverables, and fine-tune as needed.

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Among the many voices that shape the InterSystems Developer Community, some stand out not only for their knowledge but for their consistency, curiosity, and passion. One of those voices belongs to @Dmitry Maslennikov, a long-time member whose experience spans nearly two decades and who continues to innovate and inspire developers around the globe.

🤩 Let's take a look at Dmitry’s deep-rooted journey with InterSystems and his lasting impact on our Community...

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As we keep updating our software, we often realize that we require more and more modern solutions. So far, only one major piece of our software relies on reading barcodes in documents and images. Since Cache did not have a means of reading barcodes in the past, we have always achieved our goals by using a Visual Basic 6 application. However, it is no longer an ideal solution because it is currently complicated to maintain it. IRIS also lacks this capability, but it has recently got an option that makes up for it: embedded Python!

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Welcome to the third and final publication of our articles dedicated to the development of RAG applications based on LLM models. In this final article, we will see, based on our small example project, how we can find the most appropriate context for the question we want to send to our LLM model and for this we will make use of the vector search functionality included in IRIS.

Meme Creator - Funny Context Meme Generator at MemeCreator.org!

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In the world of APIs, REST is very extended. But what happens when you need more flexibility in your data-fetching strategies? For instance letting the client to choose what fields is going to receive. Enter GraphQL, a query language for your APIs that provides a flexible alternative to REST.

In this post, we will:

  • Compare REST and GraphQL.
  • Dive into the basics of GraphQL: Queries, Mutations, and HTTP.
  • Build a simple GraphQL server implementation using Graphene, SQLAlchemy, and Flask over data in InterSystems IRIS.
  • Explore how to deploy your GraphQL server as a WSGI application in IRIS.
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Hi Community!

We know that every developer has small side projects — apps where you experiment with new technologies, test ideas before implementing them in bigger solutions, or just build something fun for the sake of curiosity. But what if one of those projects could take you all the way to the InterSystems READY 2025?

We’re launching a unique opportunity: show us your passion, creativity, and love for IRIS, and win a free pass to the InterSystems READY + hotel accommodation!

The rules are simple: upload your fun IRIS-based side project to Open Exchange, and record a short inspirational video about why you should be the one to get the pass to THE event of the year and win!

Duration: April 21 - May 04, 2025

Prizes: hotel accommodation and free passes to the InterSystems READY 2025!

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Article
· Sep 22, 2024 5m read
Database Management Tool

Introduction

Managing databases and performing CRUD operations are fundamental tasks for developers building data-driven applications. While many database management systems (DBMS) exist, they can be complex and cumbersome to interact with, especially when it comes to creating databases and tables, handling constraints, and performing real-time data operations through an API.

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Using embedded Python while building your InterSystems-based solution can add very powerful and deep capabilities to your toolbox.

I'd like to share one sample use-case I encountered - enabling a CDC (Change Data Capture) for a mongoDB Collection - capturing those changes, digesting them through an Interoperability flow, and eventually updating an EMR via a REST API.

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Based on a great sample and workshop built by @Luis Angel Pérez Ramos (see related articles and related Open Exchange app), which included a local InterSystems IRIS for Health container (and desired setup), this sample presented here, adapted the workshop for using the InterSystems Cloud FHIR Server, and it's related setup.

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Your Mission

Let's pretend for a moment that you're an international action spy who's dedicated your life to keeping the people of the world safe from danger. You recieve the following mission:

Good day, Agent IRIS,

We're sorry for interrupting your vacation in the Bahamas, but we just received word from our London agent that a "time bomb" is set to detonate in a highly populated area in Los Angeles. Our sources say that the "time bomb" is set to trigger at 3:14 PM this afternoon.

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Problems with Strings

I am accessing IRIS databases with JDBC (or ODBC) using Python. I want to fetch the data into a pandas dataframe to manipulate the data and create charts from it. I ran into a problem with string handling while using JDBC. This post is to help if anyone else has the same issues. Or, if there is an easier way to solve this, let me know in the comments!

I am using OSX, so I am unsure how unique my problem is. I am using Jupyter Notebooks, although the code would generally be the same if you used any other Python program or framework.

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Selecting The Right Source Control Strategy for Your Team @ Global Summit 2024

https://www.youtube.com/embed/hMHRUYNl5Bk
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After so many years of waiting, we finally got an official driver available on Pypi

Additionally, found JDBC driver finally available on Maven already for 3 months, and .Net driver on Nuget more than a month.

As an author of so many implementations of IRIS support for various Python libraries, I wanted to check it. Implementation of DB-API means that it should be replaceable and at least functions defined in the standard. The only difference should be in SQL.

And the beauty of using already existing libraries, that they already implemented other databases by using DB-API standard, and these libraries already expect how driver should work.

I decided to test InterSystems official driver by implementing its support in SQLAlchemy-iris library.

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Hey Community,

Enjoy the new video on InterSystems Developers YouTube:

⏯ Copilot for Flask FHIR SQL Builder

https://www.youtube.com/embed/1QsLDaUQ4sw
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Hey Community!

Here's the recap of the final half-day of the InterSystems Ready 2025! It was the last chance to see everyone and say farewell until next time.

It was a warm and energetic closing, with great conversations, smiles, and unforgettable memories!


The final Ready 2025 moment with our amazing team!

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I joined InterSystems less than a year ago. Diving into ObjectScript and IRIS was exciting, but also full of small surprises that tripped me up at the beginning. In this article I collect the most common mistakes I, and many new colleagues, make, explain why they happen, and show concrete examples and practical fixes. My goal is to help other new developers save time and avoid the same bumps in the road.

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Question
· Nov 17, 2024
Installing IRIS in Linux

Hi Guys,

We are planning to move our system from windows to Linux and I never used Linux before and all I know that is another operating system, so the new server has Linux which looks like just terminal session like Dos and as I ran "uname -r" command to check for the version in it shows some like "6.1.112-124.190.amzn2023.x86_64".

So for the available IRIS distribution and can only found versions for Ubuntu and Red Heat, so do I have to either install one of them to be able to install & run IRIS?

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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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