Rajesh Francis & Rajiv Gupta & Milind Oke “Amazon Redshift: The Definitive Guide”
RedShift has an amazing feature depth and this book showcases some of them. I put some of the recommendations to good use already and I hope to work on some aspects of RedShift rsn. A typical O’Reilly book, practical, hands-on, well-written. With the newish pace of innovation on RedShift this book will need a second edition soon though.
Verdict: worth having in the shelf
Madhusudhan Konda “Elasticsearch in Action, Second Edition”
I am merely a tinkerer with Elasticsearch (or its fully managed inimical stepbrother Opensearch) and this book has helped me understand something more of this excellent software. In sticking to the title, there’s not much about Kibana in the book. The book is version-agnostic, I’ll certainly revisit it over the coming years.
Verdict: worth having in the shelf
Kent Beck “Tidy First?”
33 short essays - or recipes - on tidying your code methodically and in small steps, each one makes a nice blog entry. Every recipe stands on its on, you can read the book in no particular and revisit it many times.
Verdict: must read
Martin Kleppmann “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems”
The book on persisting data in a distributed world, a tour de force that explains the ideas and tradeoffs behing the concepts involved.
Verdict: must read
Jiawei Han, Micheline Kamber, Jian Pei “Data Mining: Concepts and Techniques”
An excellent data science / data mining book that covers the essential concepts and approaches to discover patterns in data. There’s a new edition and the book ages well, because it focues on concepts.
Verdict: must read
Jason McDonald “Dead Simple Python”
A sneaky understatement: this goes from zero to very advanced and is an excellent book for the seasoned Python developer as well. This book was published in late 2022, but it is written in a way that it’ll age really well. Get it!
Verdict: must read