dbt (Data Build Tool): The Analytics Engineering Guide
Elevate Your Analytics Workflows: Transform data with dbt Cloud & dbt Core and Apply Software Engineering best practices
4.46 (12 reviews)
133
students
6 hours
content
Jan 2025
last update
$19.99
regular price
What you will learn
Managing dbt Projects: Learn to initiate, structure, and effectively manage dbt projects, including dbt profiles understanding.
Master dbt Models: Understand how to create and manage dbt models, including their dependencies, configurations.
Grasp dbt's Core Purpose: You will confidently articulate what dbt is and its crucial role in data engineering.
Implement Testing in dbt: Understand the different types of tests in dbt, and how to implement them effectively for different models and other dbt resources..
Understand dbt Packages: Gain knowledge on how to use dbt packages to modularize and reuse code across different dbt projects.
Deploy dbt Cloud Jobs: Learn how to configure and deploy dbt jobs in various environments, understanding the differences and requirements of each.
Create and Maintain dbt Documentation: Learn how to generate and maintain documentation within dbt, including descriptions of sources, tables, and columns.
Setting Up and Installing dbt: you should be able to navigate the process of installing dbt and setting it up whether that's a local machine or dbt cloud
Version Control: Understand how dbt integrates with platforms like GitHub to provide version control, ensuring you can track and manage changes effectively.
Streamlined Workflows: Instead of juggling multiple tools and platforms, learn how dbt serves as a one-stop solution for most of your data transformation needs.
dbt Cloud IDE: Master how to use dbt Cloud IDE to write, test, and deploy DBT models and other resources without needing to interact with the command line.
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Enrollment Distribution
5030040
udemy ID
18/12/2022
course created date
28/08/2023
course indexed date
kokku
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