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I am trying to help another group within our organization access a SQL Table that I have created to populate Epic Department Data within our environment and came across the ability to use SQL Seach REST Interface using iKnow.

However, I am having issues trying to get it to work via POSTMAN before I hand off the solution...

the POST URL... https://<servername>/api/iKnow/latest/TESTCLIN/table/osuwmc_Epic_Clarity.DepartmentMaster/search

where osuwmc_Epic_Clarity.DepartmentMaster is the table

In the body...

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Hey Community,

Watch this video to learn about AI Co-Pilot, which simplifies DTL coding and offers personalized assistance which makes it accessible to users with varying levels of technical expertise:

Accelerate DTL Coding with AI Cloud Service @ Global Summit 2024

https://www.youtube.com/embed/C0YfTYiRqzI
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I recently had to refresh my knowledge of the HealthShare EMPI module and since I've been tinkering with IRIS's vector storage and search functionalities for a while I just had to add 1 + 1.

For those of you who are not familiar with EMPI functionality here's a little introduction:

Enterprise Master Patient Index

In general, all EMPIs work in a very similar way, ingesting information, normalizing it and comparing it with the data already present in their system. Well, in the case of HealthShare's EMPI, this process is known as NICE:

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Hey Developers,

Thank you very much for being a part of the InterSystems Developer Community Ecosystem for yet another year! We absolutely love that you participate in the life of the Developer Community, Open Exchange, Global Masters, and Ideas Portal.

We'd like to know how you feel about our portals. Please take a moment to let us know what you think and what could be improved:

👉 InterSystems Developer Ecosystem Annual Survey 2025 👈

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In this article I'll show you how to set up in your laptop, very quickly, a cluster of IRIS nodes in sharding. It's not the goal of this article neither to talk about sharding in detail nor define a deployment of a production ready architecture, but to show how to set up quickly, in your own machine, a cluster of IRIS instances configured as shard nodes, with which you'll able to play and test this functionality. If you're insterested in knowing more about sharding in IRIS, take a look at the documentation clicking here.

First and foremost, I want to remark that IRIS sharding will allow us 2 things:

  • Define, load and query shard tables, which data will be distributed transparently between the cluster's nodes
  • Define federated tables, which offer a global and composed view of data belonging to different tables that will be physically stored in different distributed nodes

So, as I said, we let for other article playing with shard or federated tables, and just focus now in the previous step, that is, setting up the cluster of shard nodes.

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Hi Community,

We're excited to invite you to the webinar 2025 Data Management: Technology Trends & Predictions.

Join this webinar for an engaging and insightful tech talk on the latest trends in data management technology in the UK and Ireland.

Date & Time: Thursday, January 23, 10:30 AM GMT

👨‍🏫 Speakers:

  • Andy Hayler, Practice Leader, Bloor Research
  • @Mike Fuller, Regional Director of Marketing, InterSystems UK&I

2025 Tech Talk Tech Trends & Predictions.png

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I am developing locally on my IRIS instance using VSCode and client-side editing approach. How can I automatically export a single .cls file/a whole package to a remote TEST/PREPROD server using a script or command line and recompile the unit remotely? Are there any more simple and straightforward ways than CI/CD explained in the series of articles by Eduard?

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Hi Community,

Are you ready to transform your healthcare organization with the power of Artificial Intelligence? Join us for an enlightening webinar that will equip you with the knowledge and tools to harness AI effectively in your practice.

🌐 Are you and your data AI ready? 🌐

📅 Tuesday, 15th October, 1 pm ICT | 2 pm SGT| 4 pm AEST // 8 am CEST | 2 am EDT

🗣 Presenter: @Kathleen Aller, Global Head of Healthcare Market Strategy, InterSystems

Edition #42 - Analytics Bites - Real Healthcare Providers' Channels to be  Certified on Youtube

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Faced with the enormous and evergrowing amounts of data being generated in the world today, software architects need to pay special attention to the scalability of their solutions. They must also design systems that can, when needed, handle many thousands of concurrent users. It’s not easy, but designing for massive scalability is an absolute necessity.

A workload averaging 1000 1-kilobyte queries per second is compared with another involving 10 1-terabyte queries per hour

Software architects have several options for designing scalable systems. They can scale vertically by using bigger machines with dozens of cores. They can use data distribution (replication) techniques to scale horizontally for increasing numbers of users. And they can scale data volume horizontally through the use of a data partitioning strategy. In practice, software architects will employ several of these techniques, trading off hardware costs, code complexity, and ease of deployment to suit their particular needs.

This article will discuss how InterSystems IRIS Data Platform supports vertical scalability and horizontal scalability of both user and data volumes. It will outline several options for distributing and partitioning data and/or user volume, giving scenarios in which each option would be particularly useful. Finally, this paper will talk about how InterSystems IRIS helps simplify the configuration and provisioning of distributed systems.

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Let's suppose two different routines use one and the same chunk of code. From the object-oriented POV, a good decision is to have this chunk of code in a separate class and have both routines call it. However, whenever you call code outside of the routine as opposed to calling code in the same routine, some execution speed is lost. For reports churning through millions of transactions this lost speed might be noticeable. Any advice how to optimize specifically speed?

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Template engines are essential for producing customizable dynamic content, without the need for compilation and opening up great possibilities of extensibility for the template user. Especially if the template engine supports Python. A popular solution for template engine is Mko. It is is a template library written in Python. It provides a familiar, non-XML syntax which compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi.

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Hey Community,

We're pleased to invite all the developers to the upcoming kick-off webinar for the InterSystems AI Programming Contest!

Discover the exciting challenges and opportunities that await Vector Search, GenAI and AI Agents enthusiasts in this contest. We'll discuss the topics we expect from participants and show you how to develop, build, and deploy applications using the InterSystems IRIS data platform.

Date & Time: Monday, March 17 – 11 am EST | 5 pm CET

https://www.youtube.com/embed/MHUt_QxSQTg?si=M9US_RLlXdXcdU--
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Mullins School - PUT ON YOUR THINKING CAP! Help us... | Facebook

Do you have an idea that could make a real impact on InterSystems technology and be realised by Community members? Now’s the perfect time to share your thoughts!

We’re preparing something exciting and would love to see the ideas you think could take InterSystems to the next level. To achieve this, we need you to come up with new ideas for our Ideas Portal that could be considered as "Community Opportunity" ideas*.

Thus, put on your thinking cap and submit your ideas on the Ideas Portal by mid-November, and stay tuned for more updates.

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