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()