Article
· Dec 31, 2019 3m read
Portlets that use data from DeepSee


In the previous part of this series, we saw how to reference a web page that will enhance our dashboard experience. Now we will look into referencing data that is already in our cubes.

In this example, we will be referencing the controller object and we will be extracting data from it. This data will then be displayed as text in our Dashboard. In Part 5, we will show how to incorporate this data into other charting libraries.

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Preview Mode was added to InterSystems IRIS Business Intelligence to give designers a quick view of what their resulting Pivot Table will look like without needing to wait for the results to fully execute. This can be beneficial when designing pivot tables because if you are dragging and dropping elements to see how they look/work in your pivot table and seeing if they have the desired data. Since you are exploring and designing, you don't necessarily care about the results at the moment, but you would still like to see how your table looks with the changes you have made.

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Article
· Apr 24, 2020 2m read
REST for Tasks on my Status Report

I enjoy the challenge of being in a contest. Currently I participate in InterSystems IRIS with REST API Programming Contest. My idea for this contest was to create an app to help me keep track of tasks for my Status Reports. I started with the template provided by Evgeny Shvarov. I created a persistent class for Tasks and a REST Dispatch class. I defined my URL map and I even figured out how to test my REST app using Postman.

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Article
· Mar 5, 2021 3m read
Fraud Management with InterSystems IRIS

Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011. Applied to the estimated 2011 Gross World Product, this figure translates to a potential total fraud loss of more than $3.5 trillion (source: https://www.acfe.com/press-release.aspx?id=4294973129).

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When we work with IRIS, we usually have the ability to quickly deploy a ready-to-use infrastructure for BI (data, analytical cubes, and IRIS BI dashboards) using modules. When we start using Adaptive Analytics, we typically want to have the same functionality. Adaptive Analytics has all the tools that we need. The documentation contains a description of how to work with an open web API. All interactions between the user interface and the engine also occur via the internal web API and can be emitted.

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If you have an app that uses some Caché client Windows components that are not included into CacheODBC distribution (e.g. CacheActiveX.dll), you need to proceed Caché client installation on end user's client computers and/or MS Terminal Servers. Being a part of Caché client's installation, Caché Cube is installed along with other components and is autostarted with every user's session. So, it becomes visible to every user.

To make it completely invisible, you can just move CACHE.lnk file from

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Hi, Community!

This is the 3rd part of DeepSee Web story - Angular base UI for DeepSee Dashboards, see the beginning here.

By design, DSW provides an implementation for every widget in DeepSee library. But there are some extra features in DSW which make solutions built with DSW dashboards more functional. This article describes it.

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Hi! For the Opendataset contest I've build a docker container app stack that use InterSystems IRIS & Openflights Dataset in a container and second container with Apache Zeppelin. You can found details here: https://github.com/andreas5588/openflights_demo

With that you can query the Opendflights Dataset from Apache Zepplin with zero configuration. The containers are on hub.docker so you can use it very easily.

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Article
· Nov 18, 2022 1m read
Jupyter and IRIS - The Simple Version

There are several great articles in the community showing how to use Jupyter and InterSystems IRIS together, and I encourage you to check them out in the link at the end of this article for more in depth understanding.

This is just another one, the difference is on the simplicity. Do you want to just start a container where Jupyter is already connected to an IRIS instance? Then this is for you!

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Hello!

Link: https://demo.cachequality.com

In this presentation, developer oriented, we will cover this tool, how it works, how you can use it/administer it, etc. Duration 30 minutes.

The topics will include:

  • a short presentation of Caché Quality and SonarQube (which this plugin uses),
  • a demonstration of the rules and how to tailor them to your need.

Questions will be more than welcome! Hope to see you there!

And a big thanks to Evgeny Shvarov who made this possible!

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Hi, Community Members!

The goal why we are posting questions on Developer Community is to get the answer.

Here is very simple guidelines document on how to ask questions which would get answers.

When you post a question you need to feel 3 fields: title, body, and group. And tags.

1. The Title

A good title should contain the brief description of your problem - it should not be longer than 80-90 symbols.

But brief doesn't mean one word. These are not very good titles for questions: Cache, Ensemble, Peace, World.

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A More Industrial-Looking Global Storage Scheme

In the first article in this series, we looked at the entity–attribute–value (EAV) model in relational databases, and took a look at the pros and cons of storing those entities, attributes and values in tables. We learned that, despite the benefits of this approach in terms of flexibility, there are some real disadvantages, in particular a basic mismatch between the logical structure of the data and its physical storage, which causes various difficulties.

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