Beginner Books
1. Fundamentals Of Data Engineering
https://bit.ly/3k4KUvX
2. Data Pipeline Pocket Reference Guide
https://bit.ly/3k6n1nK
3. Kimball Data Warehousing Toolkits
https://aatinegar.com/wpcontent/uplo...
Midlevel
1. Learning Spark
https://bit.ly/3W8yFfi
2. Kafka The Definitive Guide
https://bit.ly/3ZsPUuo
3. Pragmatic Programmer And Mythical Man Month
https://bit.ly/3CCjO5O
https://bit.ly/3Cy263l
Advanced
1. Staff Engineer: Leadership Beyond the Management Track
https://bit.ly/3XmYEka
2. Designing DataIntensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems(kind of midlevel too)
https://bit.ly/3vSIVh2
0:00 Intro
0:55 Beginner Fundamentals Of Data Engineering
2:39 Beginner Data Pipelines Pocket Guide
3:30 Beginner Kimball's Data Warehousing Toolkit
4:49 Mid Learning Spark
6:40 Mid Pragmatic Programmer and Mythical Man Month
9:23 Mid Kafka Definitive Guide
10:37 Advanced Staff Engineer: Leadership Beyond the Management Track
11:58 Advanced/Mid Designing DataIntensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
If you enjoyed this video, check out some of my other top videos.
Top Courses To Become A Data Engineer In 2022
• Top Courses To Become A Data Engineer...
What Is The Modern Data Stack Intro To Data Infrastructure Part 1
• What Is The Modern Data Stack Intro...
If you would like to learn more about data engineering, then check out Googles GCP certificate
https://bit.ly/3NQVn7V
If you'd like to read up on my updates about the data field, then you can sign up for our newsletter here.
https://seattledataguy.substack.com/
Or check out my blog
https://www.theseattledataguy.com/
And if you want to support the channel, then you can become a paid member of my newsletter
https://seattledataguy.substack.com/s...
Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio
_____________________________________________________________
Subscribe: / @seattledataguy
_____________________________________________________________
About me:
I have spent my career focused on all forms of data. I have focused on developing algorithms to detect fraud, reduce patient readmission and redesign insurance provider policy to help reduce the overall cost of healthcare. I have also helped develop analytics for marketing and IT operations in order to optimize limited resources such as employees and budget. I privately consult on data science and engineering problems both solo as well as with a company called Acheron Analytics. I have experience both working handson with technical problems as well as helping leadership teams develop strategies to maximize their data.
*I do participate in affiliate programs, if a link has an "*" by it, then I may receive a small portion of the proceeds at no extra cost to you.