I read Large-Scale Data Management: Best Practices for Enterprise Architecture.
I picked it up because I was more interested in the architecture aspect than data management itself.
The book discusses how centralizing data management makes it difficult to keep up with changes in data management trends, and advocates for a scalable architecture to address this issue.
I learned that it's better to avoid data warehouses as they tend to become siloed. (I was quite unaware of this...)
The first half of the book focuses on architecture that isn't confined to data management, while the latter half discusses practices related to data management architecture. However, I felt the content was somewhat vague. Having prior knowledge or experience in data analysis infrastructure might make it easier to read.
It seems that a second edition of Large-Scale Data Management is set to be published, and if you're considering buying it now, that might be the better option. The content appears to be updated, and the table of contents looks interesting.
