Skip to main content

BigQuery client wrapper with clean API

Project description

BigFlow

Documentation

  1. What is BigFlow?
  2. Getting started
  3. Installing Bigflow
  4. BigFlow tutorial
  5. Help me
  6. CLI
  7. Configuration
  8. Project setup and build
  9. Deployment
  10. Workflow & Job
  11. Starter
  12. Technologies
  13. Job monitoring
  14. Roadmap

What is BigFlow?

BigFlow is a Python framework for data processing pipelines on GCP.

The main features are:

Getting started

Start from setting up a development environment. Next, go through the BigFlow tutorial.

Installing BigFlow

Prerequisites. Before you start, make sure you have the following software installed:

  1. Python 3.7
  2. Google Cloud SDK
  3. Docker Engine

You can install the bigflow package globally but we recommend to install it locally with venv, in your project's folder:

python -m venv .bigflow_env
source .bigflow_env/bin/activate

Install the bigflow PIP package:

pip install bigflow==1.0.dev34

Test it:

bigflow -h

Read more about BigFlow CLI.

Help me

You can ask questions on our gitter channel or stackoverflow.

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

bigflow-1.0.dev46.tar.gz (54.0 kB view hashes)

Uploaded Source

Built Distribution

bigflow-1.0.dev46-py3-none-any.whl (48.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page