Online webinar: What is dbt?

7. ledna 2026

Watch the recording now to see dbt in action.

Modern data teams struggle with repeated SQL logic, missing documentation, unreliable data quality, and hard-to-maintain pipelines. dbt (data build tool) has become the industry standard for solving these challenges by bringing software engineering best practices into analytics engineering.

In this webinar, we’ll walk you through what dbt really is, how it works in practice, and how dbt Cloud and the new dbt Fusion engine take data transformation to the next level.

What you will learn?

1. What dbt is and why it matters
Understand dbt as a SQL-first transformation framework that enables analysts to work like developers.

2. Common data world problems – and how dbt solves them. Learn how dbt addresses repeated code, missing documentation, missing tests, and inconsistent logic.

3. How dbt works
From SQL models to built-in tests, documentation, lineage, and version-controlled deployments.

4. dbt Core vs. dbt Cloud vs. dbt Fusion
A clear comparison of capabilities, limitations, and when to use each option.

5. What’s new with dbt Cloud and Fusion
Explore features like state-aware orchestration, SQL comprehension, faster runtimes, CI/CD, observability, and semantic layers.

Who shout attend?

This webinar is aimed at analytics engineers, data engineers, and analysts working with SQL-based data transformations in production environments. It is also relevant for data and analytics decision-makers responsible for selecting tools, defining standards, and scaling analytics platforms across teams.

Whether you are new to dbt or already operating dbt at scale, the session will provide practical guidance on building reliable, maintainable, and scalable analytics pipelines.

Meet your presenter

Matěj Novák

Data Engineer with dbt Analytics Engineer & dbt Cloud Architect certification

Matěj Novák is an analytics engineer with hands-on experience in building and scaling modern data platforms using dbt, Snowflake & GCP. He holds the dbt Certified Developer and dbt Architect certifications. He was part of a team that migrated an international enterprise data warehouse from legacy systems to Snowflake and dbt Core, worked on a migration from Keboola to GCP, and helped drive dbt adoption for dozens of teams worldwide.