https://github.com/leapfrogtechnology/datamegh
Datamegh - Data Engineering for the cloud.
https://github.com/leapfrogtechnology/datamegh
cloud cloud-native data datamegh docker megha python serverless
Last synced: about 1 month ago
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Datamegh - Data Engineering for the cloud.
- Host: GitHub
- URL: https://github.com/leapfrogtechnology/datamegh
- Owner: leapfrogtechnology
- License: mit
- Created: 2020-01-31T09:06:16.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-03-23T13:46:39.000Z (about 6 years ago)
- Last Synced: 2025-02-26T07:17:11.762Z (over 1 year ago)
- Topics: cloud, cloud-native, data, datamegh, docker, megha, python, serverless
- Language: Python
- Homepage:
- Size: 132 KB
- Stars: 2
- Watchers: 16
- Forks: 1
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# datamegh
[](https://travis-ci.org/leapfrogtechnology/datamegh)
Datamegh - A Cloud-native framework for Data Engineering projects.
If you're unfamiliar with what cloud-native means? Read it [here](https://github.com/cncf/toc/blob/master/DEFINITION.md).
## Development
#### Setting up the codebase
1. Clone the repository.
```bash
$ git clone git@github.com:leapfrogtechnology/datamegh.git
$ cd datamegh
```
2. Setup a virtualenv.
```bash
$ make venv
```
3. Activate the virtualenv.
```bash
$ source .venv/bin/activate
$ make setup
```
#### Running tests
```bash
$ make test
```
Note: This ensures all the dependencies are complete since tests are run in an isolated container.
## Contributing
Feel free to send pull requests.
Make sure to run following commands:
```bash
$ make format
$ make check
$ make test
```
## License
Licensed under [The MIT License](LICENSE).