What is Unstructured Data?
Unstructured data refers to information lacking a predefined data model or organization. In contrast to structured data found in databases with clear structures (e.g., tables and fields), unstructured data lacks a fixed schema. This type of data includes text, images, videos, audio files, social media posts, emails, and more.

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With the release of InterSystems IRIS Cloud SQL, we're getting more frequent questions about how to establish secure connections over JDBC and other driver technologies. While we have nice summary and detailed documentation on the driver technologies themselves, our documentation does not go as far to describe individual client tools, such as our personal favourite DBeaver. In this article, we'll describe the steps to create a secure connection from DBeaver to your Cloud SQL deployment.

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Introduction

As the health interoperability landscape expands to include data exchange across on-premise as well as hosted solutions, we are seeing an increased need to integrate with services such as cloud storage. One of the most prolifically used and well supported tools is the NoSQL database DynamoDB (Dynamo), provided by Amazon Web Services (AWS).

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Artificial Intelligence (AI) is getting a lot of attention lately because it can change many areas of our lives. Better computer power and more data have helped AI do amazing things, like improving medical tests and making self-driving cars. AI can also help businesses make better decisions and work more efficiently, which is why it's becoming more popular and widely used. How can one integrate the OpenAI API calls into an existing IRIS Interoperability application?

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Recently, the question came up while discussing the access to the data stored in IRIS from different languages with my students if it was possible to initiate the connection and get data from Cloud solution (InterSystems IRIS CloudSQL) from Microsoft Excel, not the other way around. Considering the many varied ways one can get data in Excel (import data from external sources, connecting to databases using ODBC drivers, using power queries and web queries etc.) the obvious choice was to try ODBC driver. The only task left was to try to connect to the database in the cloud using the ODBC driver.

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We all know that having a set of proper test data before deploying an application to production is crucial for ensuring its reliability and performance. It allows to simulate real-world scenarios and identify potential issues or bugs before they impact end-users. Moreover, testing with representative data sets allows to optimize performance, identify bottlenecks, and fine-tune algorithms or processes as needed. Ultimately, having a comprehensive set of test data helps to deliver a higher quality product, reducing the likelihood of post-production issues and enhancing the overall user experience.

In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects.

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Killer presentations are essential for opening doors, doing business and delighting customers. These types of presentations move away from the traditional and tiring topics and portions of texts, or even pictures of happy people to get closer to the interests of their audience.The best presentations materialize what customers are looking for into something they can see working. Instead of promises, examples in execution and the ability to be very close to what you want to do.

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As an IT and cloud team manager with 18 years of experience with InterSystems technologies, I recently led our team in the transformation of our traditional on-premises ERP system to a cloud-based solution. We embarked on deploying InterSystems IRIS within a Kubernetes environment on AWS EKS, aiming to achieve a scalable, performant, and secure system. Central to this endeavor was the utilization of the AWS Application Load Balancer (ALB) as our ingress controller.

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What I find really useful about IRIS when teaching my subject of Postrelational databases is the fact that it is a multi model database. Which means that I can actually go into architecture and structure and all that only once but then show the usage of different models (like object, document, hierarchy) using the same language and approach. And it is not a huge leap to go from an object oriented programming language (like C#, Java etc) to an object oriented database.

However, along with advantages (which are many) come some drawbacks when we switch from object oriented model to relational. When I say that you can get access to the same data using different models I need to also explain how it is possible to work with lists and arrays from object model in relational table. With arrays it is very simple - by default they are represented as separate tables and that's the end of it. With lists - it's harder because by default it's a string. But one still wants to do something about it without damaging the structure and making this list unreadable in the object model.

So in this article I will showcase a couple of predicates and a function that are useful when working with lists, and not just as fields.

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One of the pain points for maintaining HL7 interfaces is the need to run a reliable regression test upon deployment to new environments and after upgrades. The %UnitTest class allows unit tests to be created and packaged alongside interface code. Test data can also be maintained within the unit test class, allowing for quick and easily repeatable smoke-testing and regression testing.

Resources:

  • Standard %UnitTest class

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If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver).

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Introduction

In the modern digital age, securing applications, particularly those handling sensitive health data, is paramount. The confidentiality, integrity, and availability of such data are crucial, necessitating robust security measures. Two-factor authentication (2FA) stands out as a critical enhancement in safeguarding access, adding an extra layer of security beyond just passwords. Recognizing the significance of this feature, InterSystems provides built-in support for 2FA in its database solutions. This tutorial aims to guide you through the process of configuring two-factor authentication in your InterSystems environment, ensuring that your data remains secure and accessible only to authorized users.

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Hello developers!

We are holding the first technical article contest on Japan's InterSystems Developer Community!

The first contest is a technical document writing contest, and you can submit any content related to the InterSystems IRIS/InterSystems IRIS for Health. (The article must be in Japanese.)

✍ InterSystems Japan Technical Document Writing Contest: Articles related to IRIS ✍

🎁 Participation prize: There will be a participation prize for everyone who submits an article for the contest.

🏆 Special prize: Authors of three selected works will receive special prizes.

Entering the contest is easy! Please post an article related to IRIS on the developer community during the period from Wednesday, September 6, 2023 to Monday, November 6, 2023.

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Article
· Apr 26 3m read
Geo Vector Search #2

Technical surprises using VECTORs
>>> UPDATED

Building my tech. example provided me with a bunch of findings htt I want to share.
The first vectors I touched appeared with text analysis and more than 200 dimensions.
I have to confess that I feel well with Einstein's 4 dimensional world.
7 to 15 dimensions populating the String Theory are somewhat across the border.
But 200 and more is definitely far beyond my mathematical horizon.

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For some time I have been planning to do some type of proof of concept with the Workflow functionality, which, like so many other functionalities present in IRIS, tends to go quite unnoticed by our clients (and for which I say mea culpa). That's why I decided a few days ago to develop an example of how to configure and exploit this functionality by connecting it with a user interface developed in Angular.

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Hi folks!

Often, when we develop commercial solutions, there is a necessity to deploy solutions without source code, e.g., in order to preserve the IP.

One of the ways how this can be achieved is to use InterSystems Package Manager.

Here I asked Midjourney to paint an intellectual property of software:

How this can be achieved with IPM?

In fact, this is very simple; just add the Deploy="true" clause in the Resource element in your module.xml manifest. Documentation.

I decided to provide the simplest possible example to illustrate how it works and also to give you a development environment template to let start building and deploying your own modules without source code. He we go!

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I'm trying to configure an SSL/TSL configuration in our test environment so we can send ADT messages to an external server. I've verified connectivity/firewall to the external server.

type is set to Client, Server certificate verification is set to Require.

I have received a certificate from the external supplier and linked that in the "File containing trusted Certificate Authjority certificate" field. (I've also imported it into the cert store and tried using %OSCertificateStore).

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Hey Community,

Play the new video on InterSystems Developers YouTube:

Unleashing the Power of Machine Learning with InterSystems @ Global Summit 2023

https://www.youtube.com/embed/X5VqUGVFcdM
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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The InterSystems IRIS has a series of facilitators to capture, persist, interoperate, and generate analytical information from data in XML format. This article will demonstrate how to do the following:

  1. Capture XML (via a file in our example);
  2. Process the data captured in interoperability;
  3. Persist XML in persistent entities/tables;
  4. Create analytical views for the captured XML data.

Capture XML data

The InterSystems IRIS has many built-in adapters to capture data, including the next ones:

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About this article:

In InterSystems IRIS, the default form of access to the management portal is HTTP, which means that if the client is in the office and the server is in the cloud, many clients probably desire to encrypt their traffic in some way.

Thus, we would like to show you some ways to encrypt your traffic to and from the IRIS management portal (or various REST services) running on AWS.

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