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Data analysts, Analytics Engineer, Data Engineer
data warehouse, data analytics, dbt, ETL, ELT, data transformation, sql
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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.


  • 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

* GetInData reserves the right to make any changes and adjustments to the presented agenda.


Our workshops and training programmes are organised by experienced instructors with many years real-life Big Data experience. Get to know our team!

More information

All participants will get training materials in the form of PDF files containing slides with theory and exercises manual with the detailed description of all exercises.

Contact person

Klaudia Wachnio
+48 663 422 641
Piotr Krewski
+48 888 185 137


Completed in half the estimated time and with a fivefold improvement on data collection goals, the robust product has exponentially increased processing capabilities. GetInData’s in-depth engagement, reliability, and broad industry knowledge enabled seamless project execution and implementation.

Wojciech Ptak

GetInData had been supporting us in building production Big Data infrastructure and implementing real-time applications that process large streams of data. In light of our successful cooperation with GetInData, their unique experience and the quality of work delivered, we recommend the company as a Big Data vendor.

Miłosz Balus

GetInData delivered a robust mechanism that met our requirements. Their involvement allowed us to add a feature to our product, despite not having the required developer capacity in-house.

Stephan Ewen

Their consistent communication and responsiveness enabled GetInData to drive the project forward. They possess comprehensive knowledge of the relevant technologies and have an intuitive understanding of business needs and requirements. Customers can expect a partner that is open to feedback.

Wilson Yu Cao
Development Team Manager

We sincerely recommend GetInData as a Big Data training provider! The trainer is a very experienced practitioner and he gave us a lot of tips regarding production deployments, possible issues as well as good practices that are invaluable for a Hadoop administrator.

Mariusz Popko
Platform Manager

The engineers and administrators at GetInData are world-class experts. They have proven experience in many open-source technologies such as Hadoop, Spark, Kafka and Flink for implementing batch and real-time pipelines.

Kostas Tzoumas

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