Skip to main content

The Data Bootcamp: Transform your Data using dbt™

4h 10m 51s
English
Paid

Course description

Are you looking for a cutting-edge way to extract load and transform your data? Do you want to know more about dbt™ and how to use it? Well, this is the course for you. Welcome to The dbt Bootcamp: Transform your Data using dbtIn this course you are going to learn all about dbt™, from setting up dbt™ cloud, connecting it to Snowflake or a warehouse of your choice, developing models, creating sources, doing testing, working with the documentation and much more. 

Read more about the course

This course is for beginners, we will go through a realistic project and cover each of the steps mentioned in a practical approach.
dbt™ is a data modelling tool that makes life much easier for analysts and engineers. It allows you to write SQL queries without having to worry about dependencies. dbt™, like traditional databases, is built on SQL, but it has additional functionality built on top of it utilizing templating engines such as JINJA.

This effectively lets you to retrieve, rearrange, and organize your data using additional logic in your SQL. You may then compile and run this code using dbt's™ run command to retrieve just the pieces you need in the transformations. It can also be swiftly coded, tested, and adjusted without having to wait for it to process all your data. In addition to that, it’s automated documentation is a big time saver.

The project we will be working on is about a fictitious company called GlobalMart. GlobalMart sells household items like furniture, office equipment, Appliances and Electronics. They are in the process of hiring a small data team and would like to try out dbt™ for their data transformations. They require some reporting tables about their profits and want to use dbt™ to transform their data to get them what they want.

Watch Online

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 25 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Introduction to the Course

All Course Lessons (25)

#Lesson TitleDurationAccess
1
Introduction to the Course Demo
02:47
2
What is dbt?
04:08
3
ELT vs ETL - What is better?
04:46
4
How the Course is Structured
01:57
5
Reading the Project Brief
01:57
6
Setting up dbt Cloud
02:17
7
Setting up Snowflake Data Warehouse
17:53
8
Setting up Github
03:00
9
Connecting to the Database and Github
09:51
10
Initialising dbt Cloud
04:44
11
Taking a Tour of dbt Cloud
17:11
12
Developing Models in dbt
19:13
13
Understanding Modularity and REF Functions in dbt
31:26
14
Working with dbt_project.yml
06:52
15
Working with Sources in dbt
14:00
16
Introduction to Testing in dbt
03:05
17
How to Create Generic Tests in dbt
20:17
18
How to Create Singular Tests in dbt
10:32
19
How to Generate and work with dbt Documentation
16:36
20
How to use JINJA in dbt
13:02
21
How to Create Macros in dbt
13:16
22
How to use Packages in dbt
08:43
23
How to use Seeds (CSV files) in dbt
08:01
24
Deploying on dbt
14:33
25
A Quick Goodbye Note
00:44

Unlock unlimited learning

Get instant access to all 24 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

Building APIs with FastAPI

Building APIs with FastAPI

Sources: Andreas Kretz
API is the foundation of any modern data platform. You either provide an API for clients or use external APIs yourself. In any case, it's important to be...
1 hour 35 minutes 40 seconds
Data Structures and Algorithmic Trading: Machine Learning

Data Structures and Algorithmic Trading: Machine Learning

Sources: udemy
Data Structures and Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions over time. They were developed so th
2 hours 20 minutes 32 seconds
Spark and Python for Big Data with PySpark

Spark and Python for Big Data with PySpark

Sources: udemy
Learn the latest Big Data Technology - Spark! And learn to use it with one of the most popular programming languages, Python! One of the most valuable technolog
10 hours 35 minutes 43 seconds
Apache Airflow Workflow Orchestration

Apache Airflow Workflow Orchestration

Sources: Andreas Kretz
Apache Airflow is a platform-independent tool for workflow orchestration that provides extensive capabilities for creating and...
1 hour 18 minutes 41 seconds
Case Study in Product Data Science

Case Study in Product Data Science

Sources: LunarTech
This is a course that offers unique opportunities for students seeking to master key aspects of data analysis in product development. The course...
1 hour 4 minutes 47 seconds