In today's digital age, effective data management and accurate information analysis are becoming essential for successful enterprise operations. InterSystems IRIS Data Platform offers two critical tools, ARCHITECT and ANALYZER, developed to deliver convenient data management.

🐞🐛▶ There is a helpful tool which allows us to debug code visually with different colours.

The titular question was quite relevant and often discussed some thirty years ago. The thought went: “Sure, there are industries where computers are the norm, but in my industry we got just fine so far, the benefits are questionable, problems innumerable and unsolved. Can we continue as before or should we embrace this new technology?”

Today, everyone asks the same question but about Machine Learning and Artificial Intelligence. The doubts are the same – lack of expertise, lack of known path, perceived irrelevancy to the industry.

Yet, as before, the correct, even the only possible answer is a resounding yes. Read on to find out why.

Hi Community,

to learn quickly and in total autonomy on IRIS, I offer you some links which can help you in this beautiful bicycle ride rich in discoveries:

There are couple of options to do this.

1. You can extend your class &JSON.Adaptor, it will do it for you with inbuilt logicaldtodisplay methods

2. Create another request class and do your transformations

3. Before calling the json convert to stream methods, transform the object's field with a ZDT.

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I have an extremely simple example where there is a class with 3 properties

Presenter: Stefan Wittmann
Task: Take advantage of the NoSQL paradigm without adding another tool
Approach: Provide sample use cases that are an excellent fit for InterSystems’ new document data model

Description: Designing applications always requires you to make assumptions about your data model. Come to this session to learn how you can effectively handle the cases where you have to rapidly evolve your model. We will also discuss other use cases that are an awesome fit for the flexible document data model.

Problem: I’ve observed the NoSQL landscape and like the direction, but I have no use-case that fits and I do not want to add yet another tool.

Solution: InterSystems now has support for a well integrated document data model that brings the NoSQL paradigm to the enterprise within your current stack.

Content related to this session, including slides, video and additional learning content can be found here.

During my repeated testing with Docker Desktop, I'm often short on disk space
nd need to clean it over and over as described earlier.
The main reason is the rather uncontrolled growth of ext4.vhdx
that is located on my C: drive by default.
So I decided to move this file to a large external disk.

Presenter: Anton Umnikov
Task: Run SQL queries quickly on huge amounts of data
Approach: Use a shared-nothing architecture to leverage a cluster of small, cost-effective servers

Explains how a shared nothing architecture allows you to leverage a cluster of small, costeffective servers to serve query results that would have taken much longer on a single, big and expensive box. This brings affordable horizontal scalability.

Content related to this session, including slides, video and additional learning content can be found here.

I hope you already know one of my projects Cache Blocks Explorer. I've recently renamed it to Blocks Explorer.

For the recent contest, I've added a new feature, the ability to generate a static picture of any Cache or IRIS database. Like below. Where unique globals have a unique color. This is how looks like inside 9.5GB database. Where 1 pixel represents one block. By link on image you will get even bigger image, with more detalization.

Support is helping you troubleshoot a report. They want to reproduce a problem in their local system. Too bad they can't run your report, because the JDBC data source connection will fail. Or... is there a way?

Presenter: Anton Umnikov
Task: Identify your slowest SQL queries and tune them for better performance
Approach: Use InterSystems’ query profiling and analysis tools. Discuss how system configuration can affect performance

This session will show you how you identify the weakest link in your application SQL and introduce you to the fine art of tuning those queries. To do this we will take a look at InterSystems query profiling and analysis tools, as well as how system configuration can impact SQL performance.

Problem: Obscurity on how our SQL engine works

Content related to this session, including slides, video and additional learning content can be found here.

The IKO documentation is robust. A single web page, that consists of about 50 actual pages of documentation. For beginners that can be a bit overwhelming. As the saying goes: how do you eat an elephant? One bite at a time. Let's start with the first bite: helm.

What is Helm?

Helm is to Kubernetes what the InterSystems Package Manager (IPM, formerly ObjectScript Package Manager - ZPM) is to IRIS.

InterSystems FAQ rubric

You can avoid the error by specifying a stream object as the argument of %ToJSON() used when generating a JSON string from a dynamic object.

A code example is below.

Among the outputs of our Yuzinji tool are two code metrics that it can be interesting to track over time as a development project proceeds. These are Size and XS. The first is fairly straightforward. As you write more code the size of your codebase increases. The XS metric (pronounced "excess") aims to quantify excessive structural complexity.