In the previous article, we combine ZPM with Config-API to load a configuration on module loading\install.
It could be useful for small applications, but for a large application, it's not convenient.
Following up the previous part, it's time to take advantages for IntegratedML VALIDATION MODEL statement, to provide information in order to monitor your ML models. You can watch it in action here
In healthcare, the outcome of a life-or-death decision can depend on the available information. To help deliver the right information at the right time and place, healthcare organizations traditionally have used HL7 interface engines to share data among clinical applications.
With the latest improvements in support for Python in IRIS, and continued work on Python DB-API support by InterSystems. I've implemented IRIS support to the Django project where is Python DB-API is used to work with some other databases.
Let's try a simple application on Django, which stores its data in IRIS.
I have created a package that offers a utility to load a Global into JSON object and reverse to create a Global from this type of JSON object. Efficient refers to the structure created. Only Globals nodes containing data are presented in the generated JSON object.
InterSystems has implemented a broad set of MultiValue extensions for its Caché multidimensional database. These extensions enable the migration of MultiValue applications to Caché and bring the full range of Caché object and SQL development technologies to MultiValue developers. The result: your existing MultiValue investments are preserved, you gain a broad spectrum of highly scalable deployment options, and your developers can combine the best of MultiValue, object, relational, and technologies to extend existing applications and build new ones.
Being equipped by science and technology, human being have walked a long way by great inventions such as steam-engines or aeroplannes; while after decades, people gradually recognize that single creation could not lauch an industry-boom again. That is why and when, technologies grow up with a community, where are we now=P. An eco-system of technology would be born with the power of a system and grow up with the power of system-science, such as InterSystems, with which seated the letters "s-y-s-t-e-m". Graduated with M.S.
The healthcare software market offers exciting and significant growth opportunities. Yet, while some healthcare software companies enjoy incredible growth, others under-perform, languish, or even fail. There are many criteria for success in this market, but two are particularly critical:
This project was thought of when I was thinking of how to let Python code deal naturally with the scalable storage and efficient retrieving mechanism given by IRIS globals, through Embedded Python.
My initial idea was to create a kind of Python dictionary implementation using globals, but soon I realized that I should deal with object abstraction first.
So, I started creating some Python classes that could wrap Python objects, storing and retrieving their data in globals, i.e., serializing and deserializing Python objects in IRIS globals.
Presenter: Ken Takemura Task: Integrate enterprise-wide management capabilities into applications Approach: Use APIs that are built into Enterprise Manager
Content related to this session, including slides, video and additional learning content can be found here.
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.
Prediction is a critical to the Maternal healthcare. The Health Dataset Application (https://openexchange.intersystems.com/package/Health-Dataset) has 10 real health datasets to predict the most important diseases and health problems, including Maternal Risk.
This article detail the steps to predict Maternal Risk using the InterSystems IRIS IntegratedML. This is a technology of InterSystems to do predictions using SQL Commnands! Great!
Presenter: Barry Cooper Task: Enable users to perform analytics within an application and take actions based on those analytics Approach: Provide examples of embedding DeepSee within applications
Analytics is more than just using data to provide insight. Analytics is about taking action on that insight. See examples of how you can embed DeepSee in your applications, allowing you to take action.
Content related to this session, including slides, video and additional learning content can be found here.
I would like to share the history of the project - the ZAPM shell.
As soon as ZPM was implemented, I immediately began to think about how best to use it.
And immediately faced with the desire to move more quickly between namespaces, especially when there are more than 20 of them.
I had to leave the ZPM, move to the desired namespace and re-enter the shell.
I suggested an improvement - a new "namespace" command for easier navigation.
I didn’t wait - I did it myself. And so it went. If you need it, get ready to do it yourself.
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Open Exchange app
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