dbt on Databricks
Building Scalable, Modular, Testable, and Version-Controlled Data Transformation Pipelines with dbt on Databricks
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Udemy Coupon Code for dbt on Databricks Course. Building Scalable, Modular, Testable, and Version-Controlled Data Transformation Pipelines with dbt on Databricks
Created by Malvik Vaghadia | 8 hours on-demand video course | 3 downloadable resources
Databricks Course Overview
dbt on Databricks
Are you ready to unlock the full potential of your data analytics pipelines? dbt on Databricks is a comprehensive course tailored for data professionals aiming to master data transformation using dbt (data build tool) on the Databricks platform, harnessing the power of Apache Spark for scalable and efficient workflows.
While Databricks offers robust data processing capabilities, dbt enhances the experience by providing a framework for version-controlled, modular, and testable SQL-based transformations. This combination leverages Apache Spark’s power for scalable workflows while maintaining cleaner, more maintainable, and reusable code. The course covers both dbt Cloud and dbt Core, equipping learners with versatile skills for any environment.
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.
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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.
Instructor
I value simplicity and clarity in teaching. My courses are designed to be straightforward and to-the-point, with a focus on delivering knowledge in a way that’s easy to understand and immediately applicable. Whether you’re just starting out or looking to advance your skills, my goal is to provide you with the solid foundation you need to excel in your data engineering career.