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Handle JSON with dbt // jinja & macros

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A common data type you'll see in a modern stack is JSON.
This is often used for data streams, software applications, etc.
The tricky part as an engineer is trying to combine it with structured, relational data.
Fortunately, most modern databases now have ways to store this data type.
Add in the dynamic features of dbt and you can really simplify this task.
In this video we will first look at how to flatten data in snowflake...
Then use the dbt features of jinja and macros to create a reusable component in our project.
Timestamps:
00:00 - Intro
00:38 - Review JSON Data
01:13 - Flatten JSON w/ Snowflake
02:35 - Flatten using Jinja & dbt
09:30 - Remove Trailing Comma
10:53 - Create a Reusable Macro
Title & Tags:
How to Flatten JSON Using Snowflake, DBT and Jinja | dbt tutorial
#kahandatasolutions #dataengineering #databuildtool
A common data type you'll see in a modern stack is JSON.
This is often used for data streams, software applications, etc.
The tricky part as an engineer is trying to combine it with structured, relational data.
Fortunately, most modern databases now have ways to store this data type.
Add in the dynamic features of dbt and you can really simplify this task.
In this video we will first look at how to flatten data in snowflake...
Then use the dbt features of jinja and macros to create a reusable component in our project.
Timestamps:
00:00 - Intro
00:38 - Review JSON Data
01:13 - Flatten JSON w/ Snowflake
02:35 - Flatten using Jinja & dbt
09:30 - Remove Trailing Comma
10:53 - Create a Reusable Macro
Title & Tags:
How to Flatten JSON Using Snowflake, DBT and Jinja | dbt tutorial
#kahandatasolutions #dataengineering #databuildtool
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