bigflow 1.0.dev35

BigQuery client wrapper with clean API

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
    1. BigQuery
    2. Apache Beam
    3. Dataproc
13. Job monitoring
14. Roadmap

What is BigFlow?

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

The main features are:

• Dockerized deployment environment
• Powerful CLI
• Automated build, deployment, versioning and configuration
• Unified project structure
• Support for the major data processing technologies — Dataproc, Apache Beam and BigQuery
• Project starter

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

Test it:

bigflow -h

Read more about BigFlow CLI.

Help me

You can ask questions on our gitter channel or stackoverflow.