Pyplatform is a data analytics platform architeture built around Google BigQuery in a hybrid cloud environment.
the platorm:
- provides fast, scalable and reliable SQL database solution
- abstracts away the infrastuture by builiding data pipelines with serverless compute solutions in python runtime environments
- simplifies development environment by using jupyter lab as the main tool
Installation
pip install pyplatform
Setting up development environment
git clone https://github.com/mhadi813/pyplatform
cd pyplatform
conda env create -f pyplatform_dev.yml
Environment variables
import os
os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'path/to/default_service_account.json'
os.environ['DATASET'] = 'default_bigquery_dataset_name'
os.environ['STORAGE_BUCKET'] = 'default_storage_bucket_id'
Usage
common data pipeline architectures:
- Http sources
- On-prem servers
- Bigquery integration with Azure Logic Apps
- Event driven ETL process
- Streaming pipelines
Exploring modules
import pyplatform as pyp
pyp.show_me()
1 maintainer
Metadata
1 maintainer
Release files for pyplatform-udf 0.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pyplatform-udf-0.0.4.tar.gz | 5.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyplatform_udf-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.2 kB
Release files / pyplatform-udf-0.0.4.tar.gz
| Download URL | pyplatform-udf-0.0.4.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / pyplatform_udf-0.0.4-py3-none-any.whl
| Download URL | pyplatform_udf-0.0.4-py3-none-any.whl |
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| Size | 5.7 kB |
| Tags | Python 3 |
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