#InterSystems IRIS

Apache Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intelligence tools for many teams. Superset integrates well with a variety of data sources.

And now it is possible to use with InterSystems IRIS as well.

An online demo is available and it uses IRIS Cloud SQL as a data source.

Hi Community,

We are pleased to invite you to the next InterSystems online programming contest, which is focused on Python!

🏆 InterSystems Python Contest 🏆

Duration: July 15 - August 4, 2024

Prize pool: $14,000

Hi Community,

@José Pereira and I want to introduce ZPM Explorer, our graphic interface to explorer the greats applications that we have inside InterSystems Package Manager.

The idea

ZPM Explorer's idea is to make it easier for people to find out what ZPM offers. Every week, every day, a new app joins the ZPM world, so why not help developers and non-developers take advantage of this incredible world?!

OAuth server to be deployed on the IRIS learning cloud platform. Clients - one on the other instance of the learning IRIS server, the other client locally on my computer in the container docker.

Both clients get a seemingly correct link (through ##class(%SYS.OAuth2.Authorization).GetAuthorizationCodeEndpoint()) to the login request form:

If you are looking for a slick way to integrate your IRIS solution in the Amazon Web Services ecosystem, server less application, or boto3 powered python script, using the IRIS Python Native API could be the way to go. You don't have to build out to far with a production implementation until you'll need to reach out and get something or set something in IRIS to make your application do its awesome sauce, so hopefully you will find value in this article and build something that matters or doesn't matter at all to anybody else but you as that is equally important.

Hi Community!

As you know we launched the InterSystems Open Exchange — the marketplace for solutions and tools on InterSystems Data Platforms!

But how to publish your application on OE?

Before we start, let me answer the few basic questions.

Hi Community,

Let's meet virtually at our Third Community Roundtable! This will be a 60-min discussion on a given topic: Developing with Python.

Register through >> this Global Masters challenge <<

UPDATE: the roundtable recording is available here.

Hi

Totally new to IRIS and Cache.

Trying to evaluate it and work out how we could use it.

As a standard application database. Object or relational etc. does not matter.

Issue is ObjectScript.

So:

1) Can we develop, maintain and use an IRIS database and never use ObjectScript i.e. use only Java, Python, C++ interfaces etc. (exactly which one does not matter)? Would that make designing and using the IRIS database more prone to inefficiency and error?

Hi, folks!

Do you know the option/mode when I can feed multiline code into a terminal?

E.g.

for i=1:1:100 {

/// do one line

///do something else}

I want to be able to view generated items from visual studio code. In Studio there was an option in the open dialog:

Specifically, I added a namespace to my workspace for editing (Using InterSystems Server Manager) and I want to be able to access the generated items in this namespace.

As I mentioned in an early post the roots of COS were laid in the late 60ies of the 20th century.

Close to that time, BLISS was designed at Carnegie-Mellon University (January 15, 1970)
https://en.wikipedia.org/wiki/BLISS
Similarly in 1972 C language was written at Bell Labs.
https://www.bell-labs.com/usr/dmr/www/chist.html

Is there a way I can call %Save() on a %Persistent object and at the same time prevent indices from being built?

As we all well know, InterSystems IRIS has an extensive range of tools for improving the scalability of application systems. In particular, much has been done to facilitate the parallel processing of data, including the use of parallelism in SQL query processing and the most attention-grabbing feature of IRIS: sharding. However, many mature developments that started back in Caché and have been carried over into IRIS actively use the multi-model features of this DBMS, which are understood as allowing the coexistence of different data models within a single database. For example, the HIS qMS database contains both semantic relational (electronic medical records) as well as traditional relational (interaction with PACS) and hierarchical data models (laboratory data and integration with other systems). Most of the listed models are implemented using SP.ARM's qWORD tool (a mini-DBMS that is based on direct access to globals). Therefore, unfortunately, it is not possible to use the new capabilities of parallel query processing for scaling, since these queries do not use IRIS SQL access.

Meanwhile, as the size of the database grows, most of the problems inherent to large relational databases become right for non-relational ones. So, this is a major reason why we are interested in parallel data processing as one of the tools that can be used for scaling.

In this article, I would like to discuss those aspects of parallel data processing that I have been dealing with over the years when solving tasks that are rarely mentioned in discussions of Big Data. I am going to be focusing on the technological transformation of databases, or, rather, technologies for transforming databases.

I'd like to share an example on how the new Embedded Python feature in IRIS helped me in my daily routines.

While I’m participating in the iris-kaggle-socrata-generator project with Henrique Dias, I got to unzip datasets from Kaggle in order to import them.