# Data warehouse

Centralized repository that stores large amounts of data from various sources.<br/>
It possibly stores the data in structured and organized ways that are optimized for data analysis and generation of
reports and insights.

1. [TL;DR](#tldr)
1. [Further readings](#further-readings)

## TL;DR

Operational systems upload the data, which may require cleansing.

The two main workflows for data warehouse systems are:

- _Extract, Transform, Load_ (ETL).
- _Extract, Load, Transform_ (ELT).

<!-- Uncomment if used
<details>
  <summary>Setup</summary>

```sh
```

</details>
-->

<!-- Uncomment if used
<details>
  <summary>Usage</summary>

```sh
```

</details>
-->

<!-- Uncomment if used
<details>
  <summary>Real world use cases</summary>

```sh
```

</details>
-->

## Further readings

- [What is a data warehouse?]
- [Snowflake]

<!--
  Reference
  ═╬═Time══
  -->

<!-- In-article sections -->
<!-- Knowledge base -->
[snowflake]: snowflake/README.md

<!-- Files -->
<!-- Others -->
[What is a data warehouse?]: https://www.ibm.com/think/topics/data-warehouse