jaumpedro214/ml-streming-kafka-cdc
Deploying a Machine Learning model streaming application with Apache Kafka
This project helps operations engineers and data platform teams deploy machine learning models as real-time streaming applications. It takes a pre-trained ML model and continuously updated database information (via Change Data Capture) as input, producing live, updated predictions or analyses. It is designed for those managing data pipelines and deploying ML solutions in production.
No commits in the last 6 months.
Use this if you need to integrate machine learning predictions directly into a live data stream, reacting to database changes in real-time.
Not ideal if you are looking for a tool to train machine learning models or perform batch predictions on static datasets.
Stars
11
Forks
3
Language
Python
License
MIT
Category
Last pushed
Aug 21, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mlops/jaumpedro214/ml-streming-kafka-cdc"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Chabane/bigdata-playground
A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark...
jrzaurin/ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
IPVS-AS/MMP-Backend
A Model Management Platform (MMP) for Industry 4.0 Environments (Backend)
jmeisele/ml-ops-kafka
Kafka variant of the MLOps Level 1 stack
zzzzz1st/predictorML
Machine learning and prediction service for Niagara NX platform.