From dc71dcb97df4bee47fb04c8c41b515a485717800 Mon Sep 17 00:00:00 2001 From: Christophe Duong Date: Tue, 26 Jan 2021 11:58:04 +0100 Subject: [PATCH] Fix formatting issues in docs --- docs/tutorials/connecting-el-with-t-using-sql.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/docs/tutorials/connecting-el-with-t-using-sql.md b/docs/tutorials/connecting-el-with-t-using-sql.md index 3691c2f0b41..7fc20ae9dd8 100644 --- a/docs/tutorials/connecting-el-with-t-using-sql.md +++ b/docs/tutorials/connecting-el-with-t-using-sql.md @@ -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.