Why NOT to become a Data Engineer
I have created multiple videos about data engineering, including a data engineering course for beginners. Why would I advise anyone against pursuing a career in data engineering? I like being as transparent as possible - while this job will be great for many people, it might be disappointing for the others. In this video I'm outlining three reasons why not to become a data engineer.
If you'd still like to learn data engineering, I recommend following the 4 simple steps below to land you the first job interview:
1. Learn Python
I recommend following the Python for Everybody specialization course on Coursera, which is one of the most popular courses there:
http://imp.i384100.net/x9gVO3
2. Learn SQL
SQL is still the lingua franca of data. I recommend going with Learn SQL Basics for Data Science course, because it contains some chapters which are very releavant to data engineering in partcular, e.g. distributed computing with Spark
http://imp.i384100.net/QOMZ09
3. Learn Bash scripting/Linux
I wouldn't take a full course on it, but at least read a good article.
if you do prefer to take a course/guided project, I think this one is short and good:
https://www.coursera.org/projects/command-line-linux
4. Learn how to develop on the cloud, e.g. on AWS
There are a few good courses around there, but I think the Coursera one is the most comprehensive
imp.i384100.net/P0MJBM
DISCLOSURE: The above contain affiliate links, meaning when you click the links and make a purchase, I receive a commission.
----------------------
Find me on Instagram:
@karo_sowinska
And if you'd like to get me a coffee, it'd surely warm my heart :)
https://ko-fi.com/karolina_sowinska
Видео Why NOT to become a Data Engineer канала Karolina Sowinska
If you'd still like to learn data engineering, I recommend following the 4 simple steps below to land you the first job interview:
1. Learn Python
I recommend following the Python for Everybody specialization course on Coursera, which is one of the most popular courses there:
http://imp.i384100.net/x9gVO3
2. Learn SQL
SQL is still the lingua franca of data. I recommend going with Learn SQL Basics for Data Science course, because it contains some chapters which are very releavant to data engineering in partcular, e.g. distributed computing with Spark
http://imp.i384100.net/QOMZ09
3. Learn Bash scripting/Linux
I wouldn't take a full course on it, but at least read a good article.
if you do prefer to take a course/guided project, I think this one is short and good:
https://www.coursera.org/projects/command-line-linux
4. Learn how to develop on the cloud, e.g. on AWS
There are a few good courses around there, but I think the Coursera one is the most comprehensive
imp.i384100.net/P0MJBM
DISCLOSURE: The above contain affiliate links, meaning when you click the links and make a purchase, I receive a commission.
----------------------
Find me on Instagram:
@karo_sowinska
And if you'd like to get me a coffee, it'd surely warm my heart :)
https://ko-fi.com/karolina_sowinska
Видео Why NOT to become a Data Engineer канала Karolina Sowinska
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