Data Engineering Course for Beginners - #1 EXTRACT

This is the first part of the Free Data Engineering Course for Beginners that I've decided to create for you! Over the course of the four videos, we are going to cover the entire ETL process (extract, transform, load), and at the end we are also going to talk about job scheduling.

In this course you will build your first data feed (or data pipeline) using Spotify API. This feed will run daily, and it will download the data about the songs that you listened to during a day, and save that data in a SQLite database on your local machine.

In this video we are going to cover the Extract stage of the ETL process, which means that we will be learning how to download data from a data vendor (Spotify in this case). Along the way I will also explain many basic data engineering concepts such as data formats (csv, json, XML...), API vs FTP methods of downloading data and the difference between compressed and uncompressed data.

Follow this link to generate your Spotify API token:
https://developer.spotify.com/console/get-recently-played/

Find the code with this data engineering project on GitHub:
https://github.com/karolina-sowinska/free-data-engineering-course-for-beginners/blob/master/main.py

Music:
What Now - Golden Age Radio

Connect with me on Instagram:
@karo_sowinska

Please let me know your feedback in the comments, so that we can make this one of the most useful data engineering courses for beginners on YouTube!

Видео Data Engineering Course for Beginners - #1 EXTRACT канала Karolina Sowinska