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mirror of synced 2026-01-07 09:05:45 -05:00

Fix formatting issues in docs

This commit is contained in:
Christophe Duong
2021-01-26 11:58:04 +01:00
parent 8c8027c602
commit dc71dcb97d

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@@ -22,7 +22,10 @@ To summarize, we can represent the ELT process in the diagram below. These are s
Anyway, it is possible to short-circuit this process \(no vendor lock-in\) and handle it yourself by turning this option off in the destination settings page.
This could be useful if: 1. you have different usage than analytics that could be handled with these initial data in raw JSON format. 1. you can implement your own Transformer \(even in a different language such as Java or in Spark for example, or another transformation tool: DBT or Dataform\) 1. you want to customize and change how the data is normalized with your own queries \(add deduplication logic since Airbyte is not doing it natively yet?\)
This could be useful if:
1. you have different usage than analytics that could be handled with these initial data in raw JSON format.
2. you can implement your own Transformer \(even in a different language such as Java or in Spark for example, or another transformation tool: DBT or Dataform\)
3. you want to customize and change how the data is normalized with your own queries \(add deduplication logic since Airbyte is not doing it natively yet?\)
In order to do so, we will now describe how you can leverage the basic normalization outputs that Airbyte generates to build your own transformations if you don't want to start from scratch.