https://github.com/getindata/feast-kafka-postgres-demo
https://github.com/getindata/feast-kafka-postgres-demo
feast-framework feature-store flink streaming
Last synced: 8 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/getindata/feast-kafka-postgres-demo
- Owner: getindata
- Created: 2022-09-01T09:11:14.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-09-01T09:30:43.000Z (almost 4 years ago)
- Last Synced: 2025-04-24T03:09:20.408Z (about 1 year ago)
- Topics: feast-framework, feature-store, flink, streaming
- Language: Jupyter Notebook
- Homepage:
- Size: 797 KB
- Stars: 4
- Watchers: 6
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Feast Kafka Postgres demo
## Overview
This is a working demo of using Feast in a sample business case with Postgres and Kafka data sources. It is based on [feast-demo](https://github.com/feast-dev/feast-demo)
## Setup
### Setting up Feast
Prerequisites:
- Python 3.8
- running Kafka instance available at localhost:9092
- running [Kafka REST Proxy](https://docs.confluent.io/platform/current/kafka-rest/quickstart.html) instance available at localhost:8082
Install the necessary requirements
```
pip install -r requirements.txt
```
We have already set up a feature repository in [feature_repo/](feature_repo/).
Run the demo
```
cd feature_repo/
python demo/get_features_demo_kafka.py
```