Data Lineage for Data Lakes Example

This repository contains an example project for building Data Lineage for data lakes using AWS Glue, Amazon Neptune and Spline Agent.

Remarks: This setup works with AWS Glue Data Permissions Model and does not support Lake Formation Permission Model.

Stack

• API: HTTP API powered by an API Gateway and lambda functions
• Frontend: Vue.js application

Build & Deployment

To deploy the solution to AWS Cloud with terraform, export your AWS Credentials to terraform (AWS Profile or environment variables)

brew install terraform
git clone https://github.com/aws-samples/data-lineage-for-data-lake-example.git
cd data-lineage-for-data-lake-example

# download spline agent jar
wget https://repo1.maven.org/maven2/za/co/absa/spline/agent/spark/spark-3.1-spline-agent-bundle_2.12/0.6.1/spark-3.1-spline-agent-bundle_2.12-0.6.1.jar -O ./asset/lib/spark-3.1-spline-agent-bundle_2.12-0.6.1.jar

terraform init

terraform apply

To build and test the lineage visual application locally:

• update the lineage backend address in src/lineage-visual/src/main.js

axios.defaults.baseURL = "https://xxx.execute-api.<aws-region>.amazonaws.com/dev";

cd src/lineage-visual
npm install
npm run serve

Getting started

• Run the first Glue Job

aws glue start-job-run --job-name "RawToCurated_employee_optimize"

• Open the lineage visual application
• Run the second Glue Job

aws glue start-job-run --job-name "CuratedToAggregated_employee"

• Refresh the lineage visual application

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.