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Mastering SQL for Data Engineering: Part I


Unlocking the power of SQL for data-driven decision-making

Photo by Thao LEE on Unsplash

Here’s an interesting fact: do you know when the SQL language was created? When it first appeared? I do! It was in 1974. I wasn’t even born yet, and people were already writing in SQL. Today, nearly 50 years later, it’s younger than ever.

SQL is one of the main tools used in data science across the board. At some point, you will likely work with SQL: whether it’s to access a database, prepare a pipeline, or load data.

Whether you’re handling data science tasks, data preparation, or data engineering, it doesn’t matter. SQL will probably be part of your job at some point. Anyone who works with data will have to use SQL in some project.

My goal here is to give you a complete introduction to SQL with a focus on data engineering. I’ll present the main commands and then move on to more complex topics, demonstrating various hands-on activities.

And, of course, in your day-to-day work, you’ll encounter SQL at some point. There’s no escaping it, ok? You’ve got to add it to your toolbox. The more tools you know, the more problems you’ll be able to solve.

And please, give as many claps 👏👏 as your fingers can handle, I do all this with lots…



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