Utility functions
Project description
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()
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pyplatform-2020.5.0.tar.gz
(2.4 kB
view hashes)
Built Distribution
Close
Hashes for pyplatform-2020.5.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a0fde26358bef830635c46fe563684651a6683578c21c36a26840c6f74352964 |
|
MD5 | 1d53aecb7c74cbb5cf26ffc274e12f9c |
|
BLAKE2b-256 | 1b298c20ff7ec6708dcf7d8157bb038efd749faf204e7d206b12c4afc69f6e8f |