Modern Data Pipelines with DBT
In this one day workshop, you will learn how to create modern data transformation pipelines managed by DBT. Discover how you can improve your pipelines’ quality and workflow of your data team by introducing a tool aimed to standardize the way you incorporate good practices within the data team.
Requirements
SQL fluency - ability to write data transforming queries.
Basic understanding of ETL processes.
Basic experience with command-line
Laptop with stable internet connection (participants will connect to Jupyter Notebooks pre-created on Google Cloud Platform)
Training outcome
During the workshops participants will follow a shared step-by-step guideline with an overview from the perspective of augmenting the Data Team workflow with the dbt tool. We will work through typical data transformation problems you can encounter on a journey to deliver fresh & reliable data and how DBT can help to solve them. Jupyter Notebook environments will be provided for each participant.
Course agenda*
Part 1
Introduction to DBT
Framework overview
Typical use cases
Impact on data transformation development
Part 2
Core concepts of DBT
Data models
Seeds, sources
Tests
Documentation, maintenance and data lineage
Hands-on exercises
Part 3
Advanced DBT features
Macros & hooks
Snapshots
Extensions
Other tools to integrate with (overview only)
Hands-on exercises
Part 4
Scheduling, deployment, workflow
GID DataOps Data Platform
Airflow
DBT cloud
Hands-on exercises
Contact person
Testimonials
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