#InterSystems IRIS

InterSystems FAQ rubric

The ID of the last updated record can be obtained using the SQL function LAST_IDENTITY().
* This function can be used with embedded SQL or ODBC but not with Dynamic SQL, SQL Shell, or the Management Portal's SQL interface.

Here's an example of usage with simple Embedded SQL:

Taking advantage of the Quiniela ML application and as we indicated in the previous article, we are going to explain how we can perform a JWT authentication between our frontend developed in Angular and our backend developed in InterSystems IRIS.

I remind you of the architecture of our QuinielaML project:

InterSystems FAQ rubric

To remove InterSystems products installed on your Windows system, use Add or Remove Programs in Control Panel (in Windows 10, select Apps from Windows Settings).

Since we will be making changes to the system, you will need to log in as a user with administrator privileges.

1) Log in to the system as an administrator.

2) From the system tray, exit the launcher of the InterSystems product instance you want to uninstall (click launcher → exit).

In a containerized environment, you can manage your container time via the TZ variable or via the /etc/timezone and /etc/localtime directories:

RabbitMQ is a message broker that allows producers (those who send a data message) and consumers (those who receive a data message) to establish asynchronous, real-time, and high-performance massive data flows. RabbitMQ supports AMQP (Advanced Message Queuing Protocol), an open standard application layer protocol.
The main reasons to employ RabbitMQ include the following:

• You can improve the performance of the applications using an asynchronous approach.
• It lets you decouple and reduce dependencies between services, microservices, and applications with the help of a data message mediator, meaning that there is no need for producers and consumers of exchanged data to know each other.
• It allows the long-running processing of sent data (with the results) to be delivered after utilizing a response queue.
• It helps you migrate from monolithic to microservices, where microservices exchange data via Rabbit in a decoupled and asynchronous way.
• It offers reliability and resilience by making it possible for messages to be stored and forwarded. A message can be delivered multiple times until it is processed.
• Message queueing is the key to scaling your application. As the workload increases, you will only have to add more workers to handle the queues faster.
• It works well with data streaming applications.
• It is beneficial for IoT applications.
• It is a must for Bots’ communication.

This is the third post of a series explaining how to create an end-to-end Machine Learning system.

Training a Machine Learning Model

When you work with machine learning is common to hear this work: training. Do you what training mean in a ML Pipeline?
Training could mean all the development process of a machine learning model OR the specific point in all development process
that uses training data and results in a machine learning model.

Who has never been through in the following situation:

I have an application/global configuration that is not and cannot be mapped to a class, but it is necessary to provide a stored procedure so that a report tool using ODBC/JDBC or even using the resultset of IRIS itself, can access the data and generate the report.

In IRIS we have a functionality that allows us to create a query that can be accessed internally and also be exposed as a stored procedure, with our own logic. That functionality is Custom Class Query.

Continuing with the series of articles on voice file management, we are going to see how we can convert text into audio and receive the file with the chosen voice.
We will also explore how a service from OpenAI can help us analyze a text and determine the mood expressed in it.
Let's analyze how you can create your own voice file and how it can “read” your feelings.

Hey, community! 👋

We are a team of Stanford students applying technology to make sense of climate action. AI excites us because we know we can quickly analyze huge amounts of text.

As we require more reports on sustainability, such as responsibility reports and financial statements, it can be challenging to cut through the noise of aspirations and get to the real action: what are companies doing

That’s why we built a tool to match companies with climate actions scraped from company sustainability reports.

Terminal scripts can be used to run pre-designed commands on the terminal, like a batch file. You can write anything that can be executed on terminal, like for loop, if else and so on, inside Terminal scripts. In this article, I will show you how to call Terminal scripts, how to use parameters in Terminal scripts and how to avoid session disconnected when running Terminal scripts. If you have any information about how to use Terminal scripts or you have any feedback, please feel free to leave a comment.

PEX is a new InterSystems IRIS feature to allows extends IRIS with existent features from Java or .NET.

It is possible create interoperability inbound and outbound adapters, business services (integrate from external to internal) and operations (integrate internal to external).

To create a PEX component it is necessary import .NET (InterSystems.EnsLib.PEX.*) or Java (com.intersystems.enslib.pex.*) packages and extends or implements the properly class.

Maternal Risk can be measured from some parameters well known to the medical community. In this way, in order to help the medical community and computerized systems, especially AI, the scientist Yasir Hussein Shakir published a very useful dataset for training ML algorithms in the detection/prediction of Maternal Risk.

I recently had the need to monitor from HealthConnect the records present in a NoSQL database in the Cloud, more specifically Cloud Firestore, deployed in Firebase. With a quick glance I could see how easy it would be to create an ad-hoc Adapter to make the connection taking advantage of the capabilities of Embedded Python, so I got to work.