Show notes are at https://stevelitchfield.com/sshow/chat.html
…
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bol.com - Techlab and Bol.com - Techlab에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 bol.com - Techlab and Bol.com - Techlab 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Data Build Tool - a tool to build data
Manage episode 353388209 series 2522423
bol.com - Techlab and Bol.com - Techlab에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 bol.com - Techlab and Bol.com - Techlab 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
The guest of our show presented the Data Build Tool, DBT, in one of our knowledge-sharing sessions. Especially the fun part is what I recognize when I look at this knowledge-sharing session. The guest of the show presented it in an enthusiastic way and used terms like: the macro functionality makes DBT awesome and Ephemeral is the Unique Selling Point.
What this episode covers
In General
Guests
Sander Boumeester – Software Engineer in the experimentation team.
Notes
On the website of getdbt there's a cool picture that explains the framework really well.
…
continue reading
What this episode covers
In General
- What is a Data Build Tool?
- What problems does it solve?
- What are the two versions? Cloud, CLI
- Why is it much more interesting to use than other ETL, transformation tools?
- Analytics Engineering
- Explain a bit more in debt the Basics of a DBT project: dbt project data pipeline, data model, tests, macros.
- Model dependencies
- DBT-packages ecosystem
- One of the powers of DBT is Jinja.
- What could you compare Jinja to?
- Is it easy to comprehend and learn?
- Ephemeral (CTE) was the unique selling point for you, why?
- An engineer enthusiastic about a documentation feature… that asks for an explanation.
Within bol.com
- Usage started as an experiment, how are we using it in bol.com?
- Can you share some learnings you and your team had when you started using DBT?
Guests
Sander Boumeester – Software Engineer in the experimentation team.
Notes
On the website of getdbt there's a cool picture that explains the framework really well.
120 에피소드
Manage episode 353388209 series 2522423
bol.com - Techlab and Bol.com - Techlab에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 bol.com - Techlab and Bol.com - Techlab 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
The guest of our show presented the Data Build Tool, DBT, in one of our knowledge-sharing sessions. Especially the fun part is what I recognize when I look at this knowledge-sharing session. The guest of the show presented it in an enthusiastic way and used terms like: the macro functionality makes DBT awesome and Ephemeral is the Unique Selling Point.
What this episode covers
In General
Guests
Sander Boumeester – Software Engineer in the experimentation team.
Notes
On the website of getdbt there's a cool picture that explains the framework really well.
…
continue reading
What this episode covers
In General
- What is a Data Build Tool?
- What problems does it solve?
- What are the two versions? Cloud, CLI
- Why is it much more interesting to use than other ETL, transformation tools?
- Analytics Engineering
- Explain a bit more in debt the Basics of a DBT project: dbt project data pipeline, data model, tests, macros.
- Model dependencies
- DBT-packages ecosystem
- One of the powers of DBT is Jinja.
- What could you compare Jinja to?
- Is it easy to comprehend and learn?
- Ephemeral (CTE) was the unique selling point for you, why?
- An engineer enthusiastic about a documentation feature… that asks for an explanation.
Within bol.com
- Usage started as an experiment, how are we using it in bol.com?
- Can you share some learnings you and your team had when you started using DBT?
Guests
Sander Boumeester – Software Engineer in the experimentation team.
Notes
On the website of getdbt there's a cool picture that explains the framework really well.
120 에피소드
모든 에피소드
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