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9 MUST Read Books For Data Engineers In 2023 - From Beginner To Advanced



Published
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/wp-content/uploads/2016/05/Kimball_The-Data-Warehouse-Toolkit-3rd-Edition.pdf

Mid-level
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 Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems(kind of mid-level 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 Data-Intensive 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
https://www.youtube.com/watch?v=kW8_l57w74g

What Is The Modern Data Stack - Intro To Data Infrastructure Part 1
https://www.youtube.com/watch?v=-ClWgwC0Sbw

If you would like to learn more about data engineering, then check out Googles GCP certificate
https://bit.ly/3NQVn7V

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Tags: Data engineering projects, Data engineer project ideas, data project sources, data analytics project sources, data project portfolio

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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 hands-on with technical problems as well as helping leadership teams develop strategies to maximize their data.

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