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).

00
1 2 39

Hello, developers!

In this article, I will show you how to configure FHIR repository + OAuth2 authorization server/resource server on IRIS for Health following the previous article.

In Part 1, we introduced the preliminary preparations, configuring the OAuth2 authorization server, and obtaining the access token.
Part 2 will show you how to build an FHIR repository and configure an OAuth2 client/resource server.

10
1 2 35

Recently, I was sorting out the introduction of data analysis. I just saw a good introduction. Turn around and mark it for reference.

Data analysis can be divided into broad data analysis and narrow data analysis. Broad data analysis includes narrow data analysis and data mining. We often say data analysis refers to narrow data analysis.

Data analysis (narrow sense)

00
0 0 20
Article
Hao Wang · 16 hours ago 1m read
What is accuracy, accuracy, recall

Accuracy rate is a measure of our prediction results, and it is a measure of how many of the predicted positive samples are actually positive.
The recall rate is for our original sample, and it shows how many positive examples in the sample were correctly predicted.
Accuracy = Predicted correctly/All
If we want to be able to retrieve as much content as possible, this is the pursuit of "recall ratio", namely A/(A+C), the bigger the better.

31
0 0 31
Article
Dmitriy Maslennikov · Mar 3, 2021 4m read
Access to IRIS from Rust

What do you think If I will say you, that very soon you will be able to connect to IRIS from the application written in Rust.

What is Rust

Rust is a multi-paradigm programming language designed for performance and safety, especially safe concurrency. Rust is syntactically similar to C++, but can guarantee memory safety by using a borrow checker to validate references. Rust achieves memory safety without garbage collection, and reference counting is optional. (c) Wikipedia

Open Exchange app
60
2 4 58

Good day, developers!

The "apptools-admin" project is not only a set of tools for the administrator, but a platform for the rapid creation of a prototype of any solution.
For example, Photo Album, Music Player, and Personal Library all come together in a user-friendly treasure chest design.

Load http:// your-host:your-port/apptoolsrest/a/infochest

Change the path to your treasure files and start viewing, listening or reading from any convenient device: desktop, tablet or smartphone.

Open Exchange app
20
0 0 31

Recently I wanted to get a list of all cached queries and their texts. Here's how to do that.

First create an SQL Procedure returning Cache Query text from a Cached Query routine name:

Class test.CQ
{

/// SELECT test.CQ_GetText()
ClassMethod GetText(routine As %String) As %String [ CodeMode = expression, SqlProc ]
{
##class(%SQLCatalog).GetCachedQueryInfo(routine)
}

}

And after that you can execute this query:

20
0 1 18

In this article, I would like to talk about the spec-first approach to REST API development.

While traditional code-first REST API development goes like this:

  • Writing code
  • REST-enabling it
  • Documenting it (as a REST API)

Spec-first follows the same steps but reverse. We start with a spec, also doubling as documentation, generate a boilerplate REST app from that and finally write some business logic.

This is advantageous because:

  • You always have relevant and useful documentation for external or frontend developers who want to use your REST API
  • Specification created in OAS (Swagger) can be imported into a variety of tools allowing editing, client generation, API Management, Unit Testing and automation or simplification of many other tasks
  • Improved API architecture.  In code-first approach, API is developed method by method so a developer can easily lose track of the overall API  architecture, however with the spec-first developer is forced to interact with an API from the position if API consumer which usually helps with designing cleaner API architecture
  • Faster development - as all boilerplate code is automatically generated you won't have to write it, all that's left is developing business logic.
  • Faster feedback loops - consumers can get a view of the API immediately and they can easier offer suggestions simply by modifying the spec

Let's develop our API in a spec-first approach!

100
6 4 1,164
Article
Tony Pepper · May 25, 2016 5m read
Random Read IO Storage Performance Tool

Purpose

This tool is used to generate random read Input/Output (IO) from within the database. The goal of this tool is to drive as many jobs as possible to achieve target IOPS and ensure acceptable disk response times are sustained. Results gathered from the IO tests will vary from configuration to configuration based on the IO sub-system. Before running these tests ensure corresponding operating system and storage level monitoring are configured to capture IO performance metrics for later analysis.

Open Exchange app
120
0 17 2,309

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.

Open Exchange app
30
0 0 34
Article
Tianyu wu · Mar 2, 2021 1m read
Vote for us 
Hotel Overbooking in hospitality industry

This is the first InterStstems  programming contest that we participated in! Come check out and vote for us!

20
0 1 55

InterSystems API Management (IAM) - a new feature of the InterSystems IRIS Data Platform, enables you to monitor, control and govern traffic to and from web-based APIs within your IT infrastructure. In case you missed it, here is the link to the announcement. And here's an article explaining how to start working with IAM.

In this article, we would use InterSystems API Management to Load Balance an API.

In our case, we have 2 InterSystems IRIS instances with /api/atelier REST API that we want to publish for our clients.

There are many different reasons why we might want to do that, such as:

  • Load balancing to spread the workload across servers
  • Blue-green deployment: we have two servers, one "prod", other "dev" and we might want to switch between them
  • Canary deployment: we might publish the new version only on one server and move 1% of clients there
  • High availability configuration
  • etc.
71
4 3 380

Hi Developers! 
Let me share with you some exercises from a workshop about developing interoperability components in Java using PEX (Production EXtension).

You will find slides and step by step exercises about:

  • Understanding simple PEX components coded in Java.
  • Making some changes on them.

All built using containers, so you don't need to build a local Java environment.

Open Exchange app
00
0 0 35

These Competition Terms (the "Terms") apply to competitions and contests sponsored by InterSystems and its affiliates including coding contests relating to InterSystems products and technologies (each a "Contest"). Please read these Terms and all applicable Rules (defined below) carefully as they form a binding legal agreement between you and InterSystems Corporation (“InterSystems”), with principal office located at:

InterSystems Corporation
1 Memorial Drive Cambridge
MA, 02142 UNITED STATES 

00
0 1 56
Article
Chris Stewart · Feb 18, 2021 2m read
Basic JSON Compare

Hi Dev Community

I thought i would share a little method I knocked together to traverse and compare 2 JSON objects for basic equivilance.   I'm currently working on some data migration, and wanted a basic sanity check to validate that the JSON output is basically equivliant between the old and new, excluding a few things like timestamps.  

It's a basic little recurvsive method, that will bubble up any differences over a nested structure.   It's very low tech, as that's all I need it to do, but I thought it might be useful for others?

10
0 5 121