Robot
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[Kahan Data Solutions] Analytics Engineer with dbt™
- Ссылка на картинку
Для тех кто не понимает, что такое dbt - это буква T (Transform) в процессе ELT/ETL. Стандарт моделирования данных за рубежом, сейчас уже многие российские компании начали его внедрять у себя и он появляется в вакансиях.
Go from zero to a savvy dbt developer in 4 hours.
Step-by-step. No fluff.
3 Things You'll Learn:
- The Viewpoint
Start designing data workflows with a modern perspective. You'll learn the revolutionary approach behind the tool to maximize its potential.
- How to Build Projects
Create custom data models on nearly any cloud platform. You'll see how to use both the Command Line Interface (CLI) and Cloud versions.
- Ways to Automate
Understand the importance of Version Control and CI/CD. Together we'll see how to use tools like GitHub to trigger deployments and tests.
But how will you actually learn this?
I will be walking you step-by-step through each topic and building a project from scratch along with you.
Here are the tools we will use (all free):
If any of this sounds confusing, don't worry - I got you.
My environment will be a blank slate too and the course assumes nothing is installed to start.
You'll also receive pre-built SQL queries that we'll use to quickly configure our Snowflake environment. This will save us setup time so that we can instead focus more on working with dbt.
Язык: английский
Go from zero to a savvy dbt developer in 4 hours.
Step-by-step. No fluff.
3 Things You'll Learn:
- The Viewpoint
Start designing data workflows with a modern perspective. You'll learn the revolutionary approach behind the tool to maximize its potential.
- How to Build Projects
Create custom data models on nearly any cloud platform. You'll see how to use both the Command Line Interface (CLI) and Cloud versions.
- Ways to Automate
Understand the importance of Version Control and CI/CD. Together we'll see how to use tools like GitHub to trigger deployments and tests.
But how will you actually learn this?
I will be walking you step-by-step through each topic and building a project from scratch along with you.
Here are the tools we will use (all free):
- Visual Studio Code (editor for writing code)
- Python (dbt is a Python package)
- Git (needed for local version control)
- GitHub (needed for hosted version control and workflow automation)
- Snowflake - Trial (cloud database for storing data)
- dbt Cloud - Trial (managed cloud platform for dbt)
If any of this sounds confusing, don't worry - I got you.
My environment will be a blank slate too and the course assumes nothing is installed to start.
You'll also receive pre-built SQL queries that we'll use to quickly configure our Snowflake environment. This will save us setup time so that we can instead focus more on working with dbt.
Язык: английский
