Boring Data
Boring Data
Boring DataTemplate: AWS+SnowflakeTemplate: AWS+Iceberg
Boring Data
Boring DataTemplate: AWS+SnowflakeTemplate: AWS+Iceberg
  • Boring Data
  • Templates
    • Template: AWS + Snowflake
    • Template: AWS + Iceberg
  • Reference
    • CLI
  • Other
    • Roadmap
Powered by GitBook
On this page
  • What do you get with Boring Data?
  • 1 - Templates
  • 2- boringdata CLI
  • How to get started?
Edit on GitHub

Boring Data

Last updated 2 days ago

Hey It's Julien

I'm a data engineer specialized in building data platforms.

For the last 10 years implementing data stacks, I noticed I was repeatedly performing the same tasks: setting up dbt, configuring Snowflake, and, more recently, migrating to Iceberg data lakes.

For each project we spent precious time reinventing the wheel, building the stack from scratch.

That's why I built Boring Data: to help data teams reduce migration risks and easily adopt the latest data infrastructure innovation.

Don't waste time reinventing the wheel..

PS: I share insights with over 5000 readers every week on Substack and LinkedIn.

What do you get with Boring Data?

1 - Templates

Each stack is composed of:

  • a data stack built in Terraform, ready to be deployed on Github Action

  • an example end-to-end pipeline that you can easily duplicate

  • a doc explaining in detail the template structure and how to add new pipelines

2- boringdata CLI

This CLI helps you to build custom pipelines faster by generating boilerplate code in a template.

With it, you can integrate in one command:

  • data ingestion tools

  • data transformation frameworks

  • orchestrators

  • AWS resources

How to get started?

Choose a template of your choice and follow the documentation provided.

You will get details on how the template is structured, how to deploy it, and how to add a new pipeline.

Support:

Reach out to me on LinkedIn or [email protected].

CLI
👏
Page cover image
Template: AWS+Iceberg
Template: AWS+Snowflake