dbt-Beginner to Pro
What you'll learn
- Core features of dbt
- Define ETL pipeline using dbt
- dbt API
- dbt test
- dbt macro, snapshots
- dbt hooks
- Other advance features of dbt
- SQL, Data Engineering Concepts
Thank you so much for joining this course. I really appreciate your inquisitiveness to learn this great tool dbt. dbt is becoming very popular among data engineers and organizations because of its simplicity and yet most powerful features of data transformations.
This course is intended for developers, managers, architects to learn about dbt capabilities, features in ordre to implement data pipelines using dbt. This course covers almost all features of dbt using dbt cloud and CLI. Here I have tried to implement an end-to-end real life data engineering pipeline using various features of dbt so that you can connect every dots and understand the need of applying each feature practically instead of only theoretical knowledge.
I profoundly believe this course will help you in getting confidence in using dbt in projects and also clear any interviews. Thank you.
dbt-labs is constantly doing more R&D and upgrading their product. So as and when I come to know anbout any new feature launched in dbt, I shall update this course with latest knowledge so that you can be also updated.
Should you have any questions, clarifications regarding anything in the course, please don't hesitate to reach me through Udemy channels. I shall try to respond to question in a timely manner.
Thank you once again. Happy learning.
Who this course is for:
- Data Engineers
Asanko has more than 12 years of experience is data engineering and data architecture across various business domains and technology stack. He is extremely proficient in Data Engineering workspaces to create complex end-to-end data pipelines using Databricks, Python, Spark, Snowflake, dbt on AWS, Azure, cloud platforms. He is also very proficient and experienced in Informatica PC, IDQ, IICS, NoSQL MongoDB etc. Asanko plays a techno-functional role in reputed one IT Consulting firm helping their clients in implementing large scale data management programs.