The AWS DataOps Development Kit is an open source development framework for customers that build data workflows and modern data architecture on AWS.

Based on the AWS CDK, it offers high-level abstractions allowing you to build pipelines that manage data flows on AWS, driven by DevOps best practices. The framework is extensible, you can add abstractions for your own data processing infrastructure or replace our best practices with your own standards. It's easy to share templates, so everyone in your organisation can concentrate on the business logic of dealing with their data, rather than boilerplate logic.

The DDK Core is a library of CDK constructs that you can use to build data workflows and modern data architecture on AWS, following our best practice. The DDK Core is modular and extensible, if our best practice doesn't work for you, then you can update and share your own version with the rest of your organisation by leveraging a private AWS Code Artifact repository.

You can compose constructs from the DDK Core into a DDK App. Your DDK App can also add contain constructs from the CDK Framework or the AWS Construct Library.

You can use the DDK CLI to manage your DDK App. You can use it to create a new app from a template, or deploy your DDK app to AWS.

For a detailed walk-through, check out our Workshop.

Install or update the AWS DDK from PyPi.

Create a new project:

ddk init sample-app

This will create a sample-app directory inside the current folder. Inside that directory, it will generate the initial project structure, and initialize a virtual environment.

sample-app
├── .gitignore
├── .venv
├── README.md
├── app.py
├── cdk.json
├── ddk.json
├── ddk_app
│   ├── __init__.py
│   └── ddk_app_stack.py
├── requirements-dev.txt
├── requirements.txt
├── setup.py
└── source.bat

To activate the virtual environment, and install the dependencies, run:

source .venv/bin/activate && pip install -r requirements.txt

Next, let us examine the code. If you look at app.py, it will look like this:

import aws_cdk as cdk
from ddk_app.ddk_app_stack import DdkApplicationStack

app = cdk.App()
DdkApplicationStack(app, "DdkApplication", "dev")

app.synth()

If your AWS account hasn't been used to deploy DDK apps before, then you need to bootstrap your environment:

ddk bootstrap

You can then deploy your DDK app:

ddk deploy

• Workshop
• Documentation
• API Reference
• Examples

The best way to interact with our team is through GitHub. You can open an issue and choose from one of our templates for bug reports, feature requests, or documentation issues. If you have a feature request, don't forget you can search existing issues and upvote or comment on existing issues before creating a new one.

We welcome community contributions and pull requests. Please see CONTRIBUTING.md for details on how to set up a development environment and submit code.

One way you can support our project is by letting others know that your organisation uses the DDK. If you would like us to include your company's name and/or logo in this README file, please raise a 'Support the DDK' issue. Note that by raising a this issue (and related pull request), you are granting AWS permission to use your company’s name (and logo) for the limited purpose described here and you are confirming that you have authority to grant such permission.

This project is licensed under the Apache-2.0 License.