YAML Tutorial | Learn YAML in 10 Minutes

YAML Tutorial | Learn YAML in 10 Minutes



All modern data engineers NEED to be able to work with YAML/YML.

But why is it so important?

YAML has quickly become to go-to file type for configuration files.

And pretty much every modern tool requires configuration of some sort.

This includes things like automation, scheduling, deployments and much more.

It provides many similar features as traditional markdown files like XML and JSON…

But in a more readable way.

In this video we will:
– Talk about what YAML is
– Create a file from scratch
– Review real-world implementations

By the end you will be ready to hop into the world of YAML files and even build some yourself.

Enjoy!

▬▬▬▬▬▬ T I M E S T A M P S ⏰ ▬▬▬▬▬▬
00:00 – Intro
01:13 – Create a YAML File
07:36 – XML/JSON vs YAML
08:39 – YAML in the Wild

▬▬▬▬▬▬ Useful Links ???? ▬▬▬▬▬▬




▬▬▬▬▬▬ Want to learn more? ???? ▬▬▬▬▬▬
Data-Build-Tool (dbt) ►
Snowflake ►
GitHub ►
Terraform ►
Power BI ►

▬▬▬▬▬▬ Connect with me ???? ▬▬▬▬▬▬
Website ►
Slack ►

YAML Tutorial | Lean YAML in 10 Minutes
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Top 5 Reasons Not to Become a Data Analyst

Top 5 Reasons Not to Become a Data Analyst



Here are my top 5 reasons not to become a Data Analyst. I think being a Data Analyst is a fantastic career, but it is not for everybody! I think there are a lot of people who have great intentions, but this type of work is not something they would truly enjoy. I hope this list of reason why not to become a Data Analyst is helpful!
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RESOURCES:

Udemy Courses:
Python for Data Analysis and Visualization-
Statistics for Data Science –
SQL for Data Analysts (SSMS) –
NLP – Natural Language Processing with Python –

Coursera Courses:
Database and SQL for Data Science –
Data Analysis with Python –
Data Analysis Specialization –
Tableau Data Visualization –

Favorite Books:
Python for Data Analysis Book –
SQL Beginner’s Guide to Managing and Analyzing With SQL Book –

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*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

#Top #Reasons #Data #Analyst

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