Mastering Dbt (data Build Tool) For Snowflake

Mastering Dbt (data Build Tool) For Snowflake
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 833.53 MB | Duration: 1h 38m
Learn to build, test, and deploy data models using DBT with Snowflake to create efficient, modern data pipelines.
What you'll learn
Learn to set up DBT Cloud and Core with Snowflake, build data models, run transformations, and manage data workflows using modern best practices.
Master DBT for Snowflake with real-world examples, Jinja templating, data testing, snapshots, and automation techniques for data pipelines.
Transform raw data into clean datasets using DBT models, run SQL-based workflows, and implement data quality checks with ease.
Build scalable data pipelines using DBT, connect to Snowflake, create custom models, and apply automation with macros, tests, and hooks.
Learn to build end-to-end data pipelines in DBT, write modular SQL models, and manage transformations directly in Snowflake.
Gain hands-on experience with DBT Cloud & Core, schema design, Jinja, testing, and creating production-ready data workflows.
Requirements
Basic knowledge of SQL
Familiarity with data warehouses (Snowflake is a plus)
No prior experience with DBT required
A laptop with internet access
Optional: Familiarity with VSCode or any code editor
Description
Unlock the power of DBT (Data Build Tool) and Snowflake to build efficient, testable, and maintainable data pipelines. This course is designed for data analysts, engineers, and ETL developers who want to move to the modern data stack and streamline SQL-based data transformation workflows.You'll start from the basics—understanding what DBT is and why it matters—and move toward hands-on experience with both DBT Cloud and DBT Core. Learn to connect DBT to Snowflake, build and run models, perform data testing, use Jinja for dynamic logic, and manage your entire transformation layer using version control and modular design.You'll also dive into more advanced topics like macros, materializations, snapshots, and hooks—learning how to automate, scale, and maintain robust data workflows in production environments. Real-world use cases and examples are provided to help reinforce your learning and apply concepts confidently in your own data engineering projects.By the end of this course, you'll be confident in creating scalable DBT projects, transforming raw data into analytical gold, and ensuring data quality with built-in tests, snapshots, and hooks.Whether you're just starting out or looking to upgrade your data engineering skills, this course is your complete guide to Mastering DBT for Snowflake effectively and efficiently.
Data Analysts and Data Engineers who want to master DBT for data transformation,Beginners looking to learn DBT from scratch with real-world examples,Professionals working with Snowflake who want to streamline SQL workflows using DBT,BI Developers and ETL Developers transitioning to modern data stack tools,Anyone interested in building scalable, testable, and maintainable data pipelines,Students or job seekers aiming for data engineering or analytics roles
https://rapidgator.net/file/fa87f5ceeb7835632ebf4e380192266e/Mastering_Dbt_Data_Build_Tool_For_Snowflake.rar.html
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