Full Course on ELT using DBT and Postgres

Welcome to our comprehensive tutorial series on getting started with DBT using the DBT CLI! Whether you're new to DBT or looking to refine your skills, this series is designed to guide you through every step of the process on both Windows and Mac platforms.
🔍 What You'll Learn:
* Getting Started: Dive into the basics of DBT and how to use the DBT CLI.
* Official Documentation: An overview of where to find and how to use the official DBT documentation.
* Setup Requirements: Learn all prerequisites needed to set up and develop with DBT CLI.
* Python Setup: Instructions on installing Python 3.8 to use with DBT CLI.
* Workspace Preparation: How to set up your workspace for DBT CLI.
* Installation: Step-by-step guide to installing DBT CLI with pip and verifying your DBT version.
* DBT Project Setup: How to set up a DBT project for Postgres using DBT CLI.
* Database Configuration: Setting up a Postgres database for DBT with Elephant SQL.
* Profile Configuration: Configuring your DBT profile to connect to a Postgres database server.
* Running Projects: Execute a sample DBT project on Postgres and validate its output.
* Validation: Check and validate tables and views created in your Postgres database by the DBT project.
* Conclusion: Wrap up the series and discuss key takeaways from your journey with DBT CLI.
This series is packed with detailed explanations, practical setup guides, and real-world applications to help you master DBT CLI. Don't forget to subscribe and hit the notification bell to stay updated on our latest tech tutorials!
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[@hubstrangers3450]

Thank you.....2013 to 2024....Big Data to DBT.... sad but true....

[@bharathirajaraj3582]

Please explain python model using snowspark

[@jaymakam9673]

Please fix the error in the second last video of apache spark virtual environment Playlist.

[@UjjwalSinghPal-um3pb]

if i started learning for now than there are very less data engineering internships(if one has data internship it is easy to get a job ,and that person also get hand on experience ) ,,,,so should i do data analyst first only for internship and after that i will study for data engineering for job because it is also a good way , and i need to do an internship because it is in our college criteria , they do not support much if you do not have done internship??