Dbt On Databricks
Last updated 11/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Building Scalable, Modular, Testable, and Version-Controlled Data Transformation Pipelines with dbt on Databricks
What you’ll learn
Gain hands-on experience with dbt Cloud and dbt Core, including setup, orchestration, and deployment in real-world scenarios.
Understand and implement dbt models, sources, and seeds within Databricks for efficient data transformations.
Learn to use Jinja functions and macros to create dynamic, reusable SQL code in dbt projects.
Master table materializations and incremental data loading to optimize data workflows and performance.
Develop comprehensive testing and documentation practices to ensure data quality and project transparency in dbt.
Requirements
Solid Understanding of Databricks, including Lakehouse Architecture
Familiarity with SQL
Knowledge of Cloud Computing (either Azure, GCP or AWS)
Access to Cloud Platform Account (either Azure, GCP or AWS)
Awareness of Version Control (Optional)
Description
Who this course is for:
This course is for Databricks developers, data engineers, and analytics professionals who want to harness dbt for efficient data transformations and enhance their expertise in modern data workflows.
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