The first installment of this article series discussed how to read a big chunk of data from the raw body of an HTTP POST method and save it to a database as a stream property of a class. The second installment discussed how to send files and their names wrapped in a JSON format.

Now let’s look closer at the idea of sending large files in parts to the server. There are several approaches we can use to do this. This article discusses using the Transfer-Encoding header to indicate chunked transfer. The HTTP/1.1 specification introduced the Transfer-Encoding header, and the RFC 7230 section 4.1 described it, but it’s absent from the HTTP/2 specification.

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.

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.

One of the most common needs of our clients is the creation of REST services that allow access to the information present in IRIS / HealthConnect. The advantage of these REST services is that it allows the development of custom user interfaces with the most current technologies taking advantage of the reliability and performance of IRIS in the back-end.

Since my initial question on ordering json properties a few things have happened.

Recently, I needed to run WebGateway on an additional port but with a twist - this port should publish only one web application.
At first, I thought about configuring Web Gateway to allow only specific web applications (~urls), but Web Gateway configuration is per Apache configuration:

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.

InterSystems FAQ rubric

Since SELECT ... FOR UPDATE is implemented in many RDBMS as a method of explicit row lock acquisition, I think there are many cases where this function is used.

This syntax is not an error for InterSystems products, but it does not acquire row locks as expected.

This article will show you how to achieve equivalent functionality.

Hi Community,

I want to share with you the lastest app that I have uploaded to the Open Exchange "IrisGoogleChat".

IrisGoogleChat is a utility for InterSystems IRIS that allows seamless message integration with Google Chat using Cache ObjectScript. This application provides a set of tools to configure Google Chat Channels, create messages powered by moods generated with AI and send them to a Google Chat Channel.

If you work with interoperability productions of InterSystems IRIS or Ensemble, no doubt you are familiar with the Message Viewer page. The page supports filtering messages according to filter criteria you enter in the Basic and/or Extended Criteria sections. Extended Criteria conditions are specified as property-operator-value triples. Once you click Search button, such triples become WHERE clause conditions of a generated SQL query executed against message header/body tables.