Datalake Framework
A Python framework for working with a datalake's cloud assets like data catalog, storage, monitoring or secrets
The framework helps making abstraction of cloud resources when developing use-cases for a datalake. Supported cloud providers are
Additionnaly, most cloud features in the framework are available for local development. Hence developers can work on use-cases without requiring a full cloud insfrastructure or even work offline.
Installation
Using pip
pip install datalake-framework
Release files for datalake-framework 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datalake-framework-1.0.4.tar.gz | 16.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datalake_framework-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 36.4 kB
Release files / datalake-framework-1.0.4.tar.gz
| Download URL | datalake-framework-1.0.4.tar.gz |
|---|---|
| Size | 16.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.13 CPython/3.8.9 Darwin/21.4.0
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Release files / datalake_framework-1.0.4-py3-none-any.whl
| Download URL | datalake_framework-1.0.4-py3-none-any.whl |
|---|---|
| Size | 19.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.1.13 CPython/3.8.9 Darwin/21.4.0
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