In today's data landscape, businesses encounter a number of different challenges. One of them is to do analytics on top of unified and harmonized data layer available to all the consumers. A layer that can deliver the same answers to the same questions irrelative to the dialect or tool being used.

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).

In the business world, every second counts, and having high-performing applications is essential for streamlining our business processes. We understand the significance of crafting efficient algorithms, measurable through the big O notation.

InterSystems IRIS Document Database (DocDB) offers a flexible and dynamic approach to managing database data. DocDB embraces the power of JSON (JavaScript Object Notation), providing a schema-less environment for storing and retrieving data.

It is a powerful tool, enables developers to bypass a ton of boiler plate code in interaction with existing applications, serialization, pagination and integration. the seamless flow of DocDB with Interoperability Rest services and operations, gives a big leap in API production and management.

for full DocDB documentation Here. in the context of this article i will showcase a use case in which DocDB will make a perfect fit.

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.

GmOwl is a solution that offers an organized and engaging learning platform. It was developed to cater to the increasing need, for learning tools providing a versatile quiz environment that meets users requirements.

The main objective of GmOwl is to deliver an user experience for individuals participating in quizzes while giving administrators comprehensive control, over content and user engagement.

GmOwl uses Java EE with MVC template, and the InterSystems IRIS database is used to store data. The InterSystems JDBC Driver is used to connect to the database.

Hi, developers!

Currently, I'm working on a project that requires highly dynamic event management. In the context of the Java programming language, my first instinct should be to opt for the "Observer Pattern", which is an approach to managing interactions between objects by establishing a notification mechanism. It allows multiple observers to react to changes in the state of a subject autonomously, promoting code flexibility and modularity. If you are not familiar with this design pattern, check out Wikipedia to find more information about it.

While it's natural and commonly used in certain programming languages as Java and C++, in ObjectScript, it's quite a different story.

In this article, I will share the theme we presented at the Global Summit 2023, in the Tech Exchange room. Me and @Rochael Ribeiro

In this opportunity, we talk about the following topics:

Hi Community,

In my previous article, we learned topics listed below:

1. What is Docker?
2. Some of the Docker benefits
3. How does Docker work?
4. Docker Image
5. Docker Container
6. Docker Image repository
7. InterSystems's Docker image repository
8. Docker Installation
9. Docker Basic Commands
10. Running IRIS community edition by using Docker
11. Docker Desktop GUI

In this article, we will cover the following topics:

1. Use of Docker Compose file (a YAML file)
2. Use of Docker file (employed to build a Docker image)
3. Use of Docker volume

So let's begin.

As most of you probably already know, since approximately the end of 2022 InterSystems IRIS included the columnar storage functionality to its database, well, in today's article we are going to put it to the test in comparison to the usual row storage.

Introduction

In the next few weeks, my coworkers are planning to start using VSCode to code with InterSystems' products. Among the many advantages of that, I would emphasize being able to connect with other technologies, such as GitHub, with ease. Besides, VSCode also offers an extensive extensions store, where you can find many free add-ons that make coding faster and more efficient. Last but not least, to conquer the heart of every developer, it is open source.

This article is a simple quick starter (what I did was) with SqlDatabaseChain.

Hope this ignites some interest.

Many thanks to:

sqlalchemy-iris author @Dmitry Maslennikov

Your project made this possible today.

The article script uses openai API so caution not to share table information and records externally, that you didn't intend to.

A local model could be plugged in , instead if needed.

IRIS 2023.3.0 ASQ

Abstract Set Query, ASQ, is a super set of JSON Path Language, JPL, which was first introduced by the 2016 ISO SQL Standard. JPL is only defined within the context of SQL. In 2023.3, we introduced classes that implement ASQ. It works on any implementation of %Library.AbstractSet. The complete syntax for ASQ will be documented later. This is just a quick introduction to a few of its features. This implementation comes with a nice utility as well. You will know it when you see it!

Hi Community!

Do you usually work with automated tasks? Then let me share with you a pair of tips ;-)

Tip 1: How to know when my automated task will end (approximately)