Modern Data Transformation with dbt (Data Build Tool)

Are you struggling to manage complex data transformation logic or maintain clean, trustworthy data models? dbt (Data Build Tool) is the industry standard for modern data warehousing workflows, allowing you to treat transformations like software code. This course teaches you how to leverage dbt's powerful framework to define, test, and deploy data transformations efficiently. You will gain the skills necessary to implement scalable data modeling practices used by top engineering teams today. What you'll learn: * Understand the dbt workflow, including project structure, sources, seeds, and defining data models using pure SQL. * Master Jinja templating and macros to eliminate repetitive code and create dynamic, reusable SQL logic. * Apply modern testing methodologies (singular and generic tests) to ensure data quality and integrity across your transformations. * Configure materializations (views, tables, incremental models) to optimize query performance and manage pipeline execution costs. * Build robust data governance by thoroughly documenting your data assets and generating a comprehensive, searchable project site. The course begins with setting up your first dbt project and progresses through defining basic models, integrating advanced testing, and finally deploying a fully documented data pipeline. This course is designed for beginners—data analysts, SQL developers, or aspiring data engineers—who have basic SQL knowledge and want to transition to modern ELT transformation practices. No prior dbt experience is required. Start building reliable, production-ready data pipelines today.