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knowledge base/data warehouse.md
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# Data warehouse
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Centralized repository that stores large amounts of data from various sources.<br/>
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It possibly stores the data in structured and organized ways that are optimized for data analysis and generation of
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reports and insights.
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1. [TL;DR](#tldr)
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1. [Further readings](#further-readings)
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## TL;DR
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Operational systems upload the data, which may require cleansing.
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The two main workflows for data warehouse systems are:
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- _Extract, Transform, Load_ (ETL).
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- _Extract, Load, Transform_ (ELT).
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<!-- Uncomment if used
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<details>
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<summary>Setup</summary>
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```sh
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```
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</details>
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-->
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<!-- Uncomment if used
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<details>
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<summary>Usage</summary>
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```sh
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```
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</details>
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-->
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<!-- Uncomment if used
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<details>
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<summary>Real world use cases</summary>
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```sh
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```
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</details>
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-->
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## Further readings
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- [What is a data warehouse?]
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- [Snowflake]
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<!--
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Reference
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═╬═Time══
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-->
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<!-- In-article sections -->
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<!-- Knowledge base -->
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[snowflake]: snowflake/README.md
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<!-- Files -->
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<!-- Others -->
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[What is a data warehouse?]: https://www.ibm.com/think/topics/data-warehouse
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