Project for running Open Data Cube on AWS.
This project requires miniconda: https://conda.io/docs/install/quick.html
conda config --add channels conda-forge
conda create --name aws-pyccd python=3.5 datacube
source activate aws-pyccd
pip install lcmap-pyccd
conda install jupyter matplotlib scipy -y
This project uses Boto3 to work with AWS, you will need to add credentials
to ~/.aws/config that allow you to write to an S3 bucket.
[default]
aws_access_key_id = YOUR_ACCESS_KEY
aws_secret_access_key = YOUR_SECRET_KEY
This project uses Boto3 to work with AWS, you will need to add credentials
to ~/.aws/config that allow you to write to an S3 bucket.
[default]
aws_access_key_id = YOUR_ACCESS_KEY
aws_secret_access_key = YOUR_SECRET_KEY
Start the notebook server.
bin/notebook-server
If AWS RDS is not available, a local Docker instance of Postgres can be easily run:
docker run --name some-postgres -p 5432:5432 -e POSTGRES_PASSWORD=mysecretpassword postgres
TBD