Understanding Big Data Scalability

Cory Isaacson

Published by

Prentice Hall





Reviewed by

Adrian M. Rossi PhD, CTO & Founder, ARC Inc.


5 out of 10

This is one of those rare times when I feel cheated by a book. The title seems to suggest some sort of leading-edge content lies within, and that I am about to embark on a journey of discovery within the realms of big data and the new approaches that are being developed to manage it.

Nothing could be further from the truth and if I was a cynical man I might believe that this was intentional. In fact the author makes it very clear that any discussion of Hadoop is out of the question and that this book is about good old-fashioned relational DBMS and specifically the technique of database sharding to scale databases.

If you are looking for a high-level, easy-to-read book on database sharding and scaling, then this might be for you, especially if you are a database administrator.

No particular vendor technology is discussed (the author remains vendor-agnostic), so this begs the question why would you not just go to the DBMS vendor for this kind of information? Good question.

I am not sure this book has much value in this context. The style is first -person, personal; the author speaks from personal experience and cites anecdotes from personal experience. I guess if you are novice DB admin, then this would be a good introductory book on database optimisation. Since I am none of these, this book did not meet my expectations. I guess I was hoping for something different.

Further information: Prentice Hall

November 2014