PyData London 2023

Data modeling, transformation, and analysis are integral parts of data pipelines. However, managing and maintaining data infrastructure can be a daunting task. dbt (data build tool) is a powerful open source package that helps data teams build modular, maintainable, and scalable data transformations.

In this talk, we will introduce dbt to the PyData community and demonstrate its full potential. We will go over best practices for data modeling and transformation, and how to integrate dbt into your existing data stack. We will also show how to use Python packages such as fal to interact with dbt and perform complex data analysis.

Attendees will learn:

• What is dbt and why it’s a game-changer for data engineering and analysis

• Best practices for data modeling and transformation with dbt

• How to integrate dbt into your existing data stack and work with data warehouses such as Snowflake and BigQuery

• How to leverage Python packages such as fal to interact with dbt and perform advanced data analysis

• Real-world examples and use cases of dbt and Python in action

By the end of this talk, attendees will have a solid understanding of how to use dbt and Python together to build a modern, scalable, and maintainable data stack. Whether you’re a data engineer, analyst, or scientist, this talk will give you the knowledge and tools to take your data infrastructure to the next level.