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BigQuery client wrapper with clean API

Project description

BigFlow

Documentation

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

What is BigFlow?

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

The main features are:

Getting started

Start from installing BigFlow on your local machine. 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[bigquery,dataflow,dataproc,log]

Test it:

bigflow -h

Read more about BigFlow CLI.

To interact with GCP you need to set a default project and log in:

gcloud config set project <your-gcp-project-id>
gcloud auth application-default login

Finally, check if your Docker is running:

docker info

Help me

You can ask questions on our gitter channel or stackoverflow.

Project details


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