What you'll learn

Connect DBT to Snowflake or another database

Create SQL transformations that use consistent logic

Test SQL transformations and underlying data

Run transformations on a schedule

Add snapshots for slowly chag dimensional tables

Test your code in a dev environment

Learn DBT Best Practices

Advanced DBT Topics

Requirements

SQL

Github

Ability to work in the command line

Description

What you'll learn

DBT lets you build a system of transformations on your data, with tests, scheduled runs, multiple environments, flexibility, and more all without needing a team of eeers to set up and manage your workflow. By the end of this course, you will have:

set up DBT locally and on the cloud

connected DBT to Snowflake (or a data warehouse of your choice)

create your own SQL transformations on data

test your transformations

snapshot your data to keep track of how your data changes over

learn DBT best practices

In this course, you'll be presented with the summarized information you need so that you can quickly get DBT implemented in your data pipeline (or in a brand new, data warehouse).

Why you should learn DBT

DBT is not one of the first technical skills most Data Scientists or Analysts think to learn. It's not as exciting as machine learning algorithms, and it's not as easy to show off as a fancy data visualization.

But DBT is an absolutely fundamental skill for any Data Scientist or Analyst due to all of its capabilities. Because DBT is so flexible, there are almost an endless amount of ways you can integrate DBT into your data architecture. Some features that DBT provides you that all Data Scientists and Analysts should be using in their work include:

Creating consistent aggregations for your analysis in a single location

Consistently testing your transformations and underlying data

Running your data transformations on a schedule

Test your code in a DEV environment

About DBT

DBT is pioneering modern analytics eeering. DBT applies the principles of software eeering to analytics code, an approach that dramatically increases your leverage as a data analyst. They believe that data analysts are the most valuable employees of modern, data-driven businesses and they build tools that empower analysts to own the entire analytics eeering workflow.

Who this course is for:

Data Analysts and Scientists looking to improve their data pipeline

Prospective Data Scientists and Analysts interested in learning data eeering

Data Analytics Managers looking to understand the capabilities of DBT



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