11 Application(s) results for #Analysis
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WP-ES

Warfarin patient enrollment and stratification

Y
Yangkun Fan
0.0 (0)27 Nov, 2025 35

iris-cdc-sample

Sample how to do CDC using IRIS, Postgresql, Kafka, Collumnar DB and BAM

Yuri Marx
Docker
5.0 (1)18 Nov, 2025 95

InterSystems Ideas Waiting to be Implemented

Implement IRIS connector for Airbyte data integration engine

Airbyte is an open-source data integration platform that allows users to sync data from different sources to various destinations. Its architecture is modular and it relies on the use of connectors for each source or destination. Every connector has the task of understanding, extracting, and writing data from or to a specific system. https://airbyte.com/connectors The reasons for implementing a connector to IRIS for Airbyte include: * Real-time Data Movement: If you want to move data in real-time (or near-real-time) from IRIS to other platforms (or vice-versa), a dedicated connector in Airbyte can facilitate that. * Ease of Use: With an Airbyte connector, users can easily set up and manage data integrations without having to write custom code. This is particularly useful for teams without extensive development resources. * Scalability: Airbyte's architecture supports scalable data integration. As your data grows in IRIS or other platforms, Airbyte can handle the increased load. * Customization: Every organization's data needs are unique. With an open-source platform like Airbyte, organizations have the flexibility to customize the IRIS connector as per their specific needs. * Community Support: As more organizations use and contribute to the Airbyte connector ecosystem, the connectors, including the one for IRIS, will benefit from community-driven enhancements, bug fixes, and best practices. In conclusion, implementing a connector to IRIS for Airbyte can significantly simplify and enhance the process of integrating InterSystems IRIS with other data platforms and tools, enabling organizations to gain more value from their data assets. Airbyte offers cloud or self-managed solutions, as well as open-source and enterprise.

D
by Dmitry Maslennikov

5

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IRIStool and Data Manager

This is a POC to demonstrate how InterSystems IRIS can be integrated with pandas and plotly Python libraries via the Python SDK (IRIS Native).

P
Pietro Di Leo
Docker
Python
AI
0.0 (0)09 Oct, 2025 228

DataAILite

DataAIlite.com – Secure in-memory analytics

I
Irina Yaroshevskaya
AI
0.0 (0)19 Aug, 2025 76

PivotToJupyter

View extracted data from IRIS BI cubes in Jupyter Notebook

P
Peter Steiwer
Docker
Python
IPM
5.0 (1)17 Jun, 2025 186 25

CCD Data Profiler

Profiles and analyzes CCD documents with customizable reports.

L
Landon Minor
IPM
0.0 (0)30 May, 2025 365 6

iris-DataViz

Exploratory Data Analysis with Visualization Application

Muhammad Waseem
Docker
Python
IPM
5.0 (1)28 Sep, 2024 308 4

thalamus-og

Thalamus revolutionizes LLM routing

A
Audrey Chen
Python
AI
ML
ML
0.0 (0)19 Sep, 2024 136

Database Growth - Data Collection and Analysis

The two continued repos are linked at the end of DataCollection.

A
Ariel Glikman
Docker
4.0 (2)04 Aug, 2024 296

DataAI

http://DataAI.link - Where Data Meets Intelligence!

I
Irina Yaroshevskaya
AI
0.0 (0)03 Aug, 2024 118

IntegratedMLandDashboardSample

A simple example of generating machine learning prediction data

Shanshan Yu
IPM
ML
ML
0.0 (0)06 Jul, 2023 402 4