# Boring Data

Hey It's [Julien](https://www.linkedin.com/in/julienhuraultanalytics/):clap:

<figure><img src="https://2661926575-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F64wmndJ41NgSyPUE3bbz%2Fuploads%2FFNAlnZlpp8GSo8Ft09px%2FBORINGDATA.IO(1).png?alt=media&#x26;token=5e8c8c59-71b0-4aa8-b9e8-e769f6b965d4" alt="" width="250"><figcaption></figcaption></figure>

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](https://juhache.substack.com/) and [LinkedIn](https://www.linkedin.com/in/julienhuraultanalytics/).

***

## 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

{% content-ref url="<https://app.gitbook.com/o/HHXho1WBquQucHTrkGTW/s/ryeUyIxiKpsTawnfUoTV/>" %}
[Template: aws-iceberg](https://app.gitbook.com/o/HHXho1WBquQucHTrkGTW/s/ryeUyIxiKpsTawnfUoTV/)
{% endcontent-ref %}

{% content-ref url="<https://app.gitbook.com/o/HHXho1WBquQucHTrkGTW/s/MV8jwUDrYLitfvOBJqeO/>" %}
[aws-snowflake-template](https://app.gitbook.com/o/HHXho1WBquQucHTrkGTW/s/MV8jwUDrYLitfvOBJqeO/)
{% endcontent-ref %}

## 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

{% content-ref url="reference/cli" %}
[cli](https://docs.boringdata.io/reference/cli)
{% endcontent-ref %}

## 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](https://www.linkedin.com/in/julienhuraultanalytics/) or <julien@boringdata.io>.


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