You're trying to learn data engineering but there is...too much materials. Hadoop, Cloud, NoSQL, RDBMS, data warehouse, data lake, ... are you feeling lost?
Learning data engineering is fascinating but can become a real problem if, as a beginner, you don't know how to identify the materials that can help you to reach the goal. You will spend a lot of time and at the end, still be confused about the data engineering skills to master.
You are not alone and other people have faced the same problems before, including myself! Based on that experience, the Become a Data Engineer course proposes a 11-modules course covering all important data concepts and patterns that you should know before starting your new job role.
My name is Bartosz Konieczny and I am a data engineer working with software since 2009. I'm also an Apache Spark enthusiast, AWS and GCP certified cloud user, blogger, and speaker. I like to share and you can discover it on
my waitingforcode.com blog or conferences like Spark+AI Summit 2019
or Data+AI Summit 2020.
Check me on social media: Bartosz Konieczny Twitter Github Stack Overflow Facebook YouTube
I did my best to give you a valuable content. If for whatever reason you're not satisfied, you can use my "5-Day Money-Back guarantee". Just reply to your purchase receipt email and I will issue a refund.
What you should know before starting? Check What do I need to follow the course?.
For other questions (and answers!), please check the FAQ page or write directly at