Data Build Tool - a tool to build data

TechLab by Bol

A tartalmat a Anthony Moendir & Tim Beeren, Anthony Moendir, and Tim Beeren biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Anthony Moendir & Tim Beeren, Anthony Moendir, and Tim Beeren vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.

2y ago 39:47

MP3•Epizód kép

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

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.

132 epizódok

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