Data Modeling is the process of organizing data in a structured way so that it is easy to understand and use.
Just like a library organizes books in different sections, a Snowflake Developer organizes data in a proper format so that people can find the right information quickly.
ETL (Extract, Transform, Load) Processes involve collecting data from different sources, cleaning it, and then storing it in Snowflake.
Businesses get data from many places (like websites, sales reports, and customer databases), and Snowflake Developers use ETL tools to make sure this data is correct, clean, and useful.
Example: Imagine you receive fruits from different farms. Some fruits are fresh, and some are rotten. Before selling them, you must pick the best ones, clean them, and arrange them properly. This is what Snowflake Developers do with data – they collect, clean, and store it properly.