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4.8 ★★★★★
Based on 29 reviews
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Product Reviews
★★★★★ 5
A data engineering journey from basic to advance topics
Format: Kindle
Is the third time that I read this book. One of the most valuable aspects is the fact that depending of your data engineering mature, you'll always find a new aspect or ideas to put in practice.
Hope the second version come soon!
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Reviewed in the United States on June 26, 2022
★★★★★ 1
Lottery Book
Format: Paperback
This book contains a lot of opinions without facts. Some are true, some are not. But its a lottery, you cold pick a gold text or a text that is full of buzzwords, without any meaning, fact and useless in real life.
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Reviewed in the United States on March 25, 2026
★★★★★ 2
Glad I bought this used
Format: Paperback
It’s packed with buzzwords and adjectives, offering plenty of in-vacuum advice and self-promotional ‘hire-me’ vibes. There’s some real insight here, but it’s buried under a lot of noise.
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Reviewed in the United States on February 11, 2026
★★★★★ 1
Not useful
Format: Paperback
This book has a few pieces of good advice, but its buried under mountains of weird and amateur level musings. Example: Paul Singman advocates for eliminating ETL entirely. How? Just reprogram the applications to which you may or may not have the source code to handle your data processing. He calls Intention Data Transfer 🥴 Thanks for the advice Paul, I'll get right on that.
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Reviewed in the United States on February 17, 2026
★★★★★ 5
Good starting point. But can't find the code.
Format: Kindle
Reading chapter 3. It was so far so good, but can't find the code in the repo. "All the related code can be found in the repository under project/hooks-notification." And in the repo I see no project folder. Please help!
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Reviewed in the United States on April 3, 2026