#Embedded Python

Data privacy regulations such as GDPR, LGPD, and HIPAA demand that organizations know exactly where Personally Identifiable Information (PII) lives inside their databases. Yet in practice, most teams rely on manual inventories, tribal knowledge, or external scanning tools that require data to leave the database engine — a process that itself creates privacy and security risks.

This article presents an MVP that takes a different approach: it runs PII detection inside InterSystems IRIS using Embedded Python, analyzing data where it lives and never exporting it to an external process.

Abstract

Solar irradiance forecasting is critical for grid stability in photovoltaic (PV) power plants. This article replicates and extends the methodology of Lara-Benítez et al. (2023) "Short-term solar irradiance forecasting in streaming with deep learning" replacing the original offline simulation with a fully operational streaming pipeline built on InterSystems IRIS. We leverage IRIS Interoperability Productions as the streaming backbone, Embedded Python to run MLP, LSTM, and CNN deep learning models, and IntegratedML as an AutoML baseline.

Hey Community, 

Yeah, I know we have a lot of tips & tricks articles - we even have a special tag for it, right? But I can not share my own collection. In this collection, you can find snippets for beginners, as well as some everyday ObjectScript constructions. In fact, it's also a way to learn something new about my favorite programming language. So, if you guys have anything to add, you are welcome!

Today I have published a new Open Exchange package for generation of Synthetic Data directly into IRIS.

 It can be a frustrating process to find decent datasets when you are looking to make a demo app. Maybe the dataset doesn't matter that much, but you still want it to appear somewhat genuine and with several linked tables that are usable directly within IRIS with the neat implicit joins with ->. Maybe you just want linked tables that are easily installable with IPM to benchmark queries, this dataset generation would be perfect.

I need a %SYS.Python object that will be accessible from different processes. The goal is to avoid reinitializing the Python object whenever it is called. Ways that I checked and decided that it is NOT what I want:

• %-variables (process variables). Reusing only in the same process
• Save-and-restore via globals. Restoring means heavy initialization, which I want to avoid

Next, my ideas (none of them look like a silver bullet):

• Using Interoperability Production.

What is a Microservice?

A microservice is an architectural style that structures an application as a collection of small, autonomous services. Each component is developed around a specific business capability, can be deployed independently, and is typically managed by a miniature, specialized, self-governing team. (Source: https://microservices.io/)