Hi folks!

Sometimes when we develop a mockup or PoC there is a need for a simple interface that will provide data in IRIS in JSON against SQL queries.

And recently I contributed a simple module that does exactly that:

accepts SQL string and returns the JSON.

How to install? Just call:

zpm "install sql-rest"

If you install it in a namespace X it will setup a /sql endpoint to your system that will accept POST requests with SQL string and will return the result for you for the data available in the namespace X.

Challenges of real-time AI/ML computations

We will start from the examples that we faced as Data Science practice at InterSystems:

• A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
• An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
• A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?

We’ve already considered how to run an IRIS-based application in GCP Kubernetes in Deploying InterSystems IRIS Solution into GCP Kubernetes Cluster GKE Using CircleCI. Additionally, we’ve seen how to run an IRIS-based application in AWS Kubernetes in Deploying a Simple IRIS-Based Web Application Using Amazon EKS. Now, let’s look at how to deploy an application to the Azure Kubernetes Service (AKS).

C:\data\backup.bat :

C:\InterSystems\Ensemble\bin\cache -s"C:\InterSystems\Ensemble\Mgr" -U%%SYS ##Class(Backup.General).ExternalFreeze() <C:\data\login.scr 

echo %ERRORLEVEL%

rem note that we need to check errorlevel from highest to lowest here....

if errorlevel 5 goto OK

Presenter: Mark Massias
Guest Speaker: Bruce Porteous of Northgate
Task: Build a composite application that bridges data silos
Approach: Give a real-world example of combining data from multiple sources to run a composite application
 

Most organizations need to bridge silos of data or combine separate applications. This session describes techniques for building composite applications and silos. The session also looks at a real application that does this. It uses workflow to assign cases to individuals for investigation and extracts information from multiple systems to provide the investigator with a complete context for the case at the scene of the incident.

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

Presenter: Clayton Lewis
Task: Use a modern, powerful tool for developing applications
Approach: Demonstrate how Atelier leverages the capabilities of Eclipse
 

In this session we will show you how we have leveraged the capabilities of Eclipse to create a modern, powerful tool for developing solutions.

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

If you spend a lot of time working with javascript, json and html and you are new to Eclipse / Atelier you may like this tip. 

Hi everyone,

I've created an Identicon Generator inspired on Fabio Gonçalves Captcha Validator.

This sample can be used to create Identicons for users of app for example, it can be useful to use in Zen Mojo applications, generating an identifier image based on name of the user by example, but it can be used in others kind of applications too(Zen, CSP etc)

This is a series of programming challenges for beginners and experienced Caché programmers.

For an introduction : go to article https://community.intersystems.com/post/advent-code-2016-day1-no-time-ta...

sample
    w "Total No.Of Sticks:21"_!
    s sticks=21
    r "enter machine name: ",a
    r "enter dev name: ",b
    w "Display 1 to 21 sticks"_!
    s i=""
    f i=1:1:21{
        w " "_i_" "
    }
user(sticks)
    w !_"User select 1 or 2 or 3 or 4 sticks:"_!
    r "User enter sticks: ",us
    if us>4 {
        w "please select upto 4 Sticks"
        r "User enter sticks: ",us
    }
    s cnt=sticks-us
    s sticks=cnt
    f i=1:1:sticks {
        w " "_i_" "
    }
    s dev=1
    s machine=0
    d:sticks=0 lost(dev,machine)
    d machine(.sticks,us)
    q
machine(sticks,us)    

The class method "test" in the following code snippet sends an HTML email with an embedded image. Edit the literal strings to change the embedded image, to address, from address, subject, and body of the email.

Available at:

https://hub.docker.com/r/yape/yape/

$ docker container run --rm -v "$(pwd)":/data yape/yape --version
yape 2.2.6
 

See the readme at:

https://github.com/murrayo/yape

Changes include:

Hi developers!

Suppose you have a Github repository with ObjectScript classes but without a Docker environment.

Recently I published a repository with a set of files that form a universal Docker and VSCode environment to let you either import and run your repository in InterSystems IRIS Community Edition on Docker or turn your repository into Docker and VSCode environment for InterSystems IRIS Community Edition.

So in one sentence:

Unpack these files in your folder and you have the Docker and VSCode environment for your InterSystems IRIS ObjectScript application!

See the details below.

Now available on Open Exchange is a library of third party charts available to use within DeepSee/InterSystems IRIS BI dashboards. To start, simply download and install, select the new portlet as the widget type, then select the chart type that you desire. If you don't find the type of chart you are looking for, you can easily extend the portlet to implement your desired chart type. These new chart types can be used within existing dashboards or you can create new dashboards using them.