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Update README with the new repository name.
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eli64s committed Jun 16, 2023
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<h1 align="center">
<img src="https://raw.githubusercontent.com/PKief/vscode-material-icon-theme/ec559a9f6bfd399b82bb44393651661b08aaf7ba/icons/folder-markdown-open.svg" width="100" />
<br>
STREAM-ON
FlinkFlow
</h1>
<h3 align="center">๐Ÿ“ Real-time stream processing wiht PyFlink.</h3>
<h3 align="center">๐Ÿš€ Developed with the software and tools below.</h3>
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- [๐Ÿš€ Getting Started](#-getting-started)
- [โœ… Prerequisites](#-prerequisites)
- [๐Ÿ’ป Installation](#-installation)
- [๐Ÿค– Using STREAM-ON](#-using-stream-on)
- [๐Ÿค– Using FlinkFlow](#-using-flinkflow)
- [๐Ÿงช Running Tests](#-running-tests)
- [๐Ÿ›  Future Development](#-future-development)
- [๐Ÿค Contributing](#-contributing)
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## ๐Ÿ“Overview

STREAM-ON is a repository for building real-time data processing apps with PyFlink.
FlinkFlow is a repository for building real-time data processing apps with PyFlink.

## ๐Ÿ”ฎ Feautres

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### ๐Ÿ’ป Installation

1. Clone the STREAM-ON repository:
1. Clone the FlinkFlow repository:
```sh
git clone https://github.com/eli64s/STREAM-ON
git clone https://github.com/eli64s/FlinkFlow
```

2. Change to the project directory:
```sh
cd STREAM-ON
cd FlinkFlow
```

3. Install the dependencies:
```sh
pip install -r requirements.txt
```

### ๐Ÿค– Using STREAM-ON
### ๐Ÿค– Using FlinkFlow

```sh
python main.py
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