Pro SQL Server Internals
Pro SQL Server Internals
Article Index
Pro SQL Server Internals
Chapters 5 -11
Chapters 12 -17
Chapters 18 - 24
Chapter 25 - 29
Chapters 30 - 35
Conclusion

 

Author: Dmitri Korotkevitch
Publisher: Apress
Pages: 804
ISBN: 978-1430259626
Audience: DBAs, Database developers
Rating: 4.9
Reviewer: Ian Stirk

Conclusion

This book provides an in-depth look at a wide range of SQL Server topics from an internals and performance related perspective.

 

 

It assumes some background knowledge of SQL Server, perhaps a few years SQL development. It is relatively easy to read, with excellent explanations, good use of screenshots, and detailed example code throughout to back up the assertions made. There are good links between the chapters, and to further information available on the web. Most chapters end with a very useful, and relatively long, summary. Having a single author undoubtedly contributed to a more consistent quality of explanations, and prevented duplication.

The book is wide-ranging, with coverage from User-Defined Functions to High Availability options. This is matched by its great detail, including examination of execution plans and physical database page/row content. There is no filler in this book, it is all useful detail. Throughout there are useful incidental tips provided. The author provides a balanced approach in his discussions, giving both the pros and cons to each problem’s solutions. There were few errors, mostly relating to editing, but nothing too distracting.

This book will take your level of SQL Server internals/performance understanding from say level 4 to level 9 (out of 10). I learned something new in almost every chapter, and there are lots of chapters! I started this review wondering if we needed another SQL Server internals book, I’ll finish it by saying this is the best SQL Server internals/performance book I’ve read, I congratulate the author on his industry.

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Machine Learning in Python

Author:  Michael Bowles 
Publisher: Wiley
Date: May 15, 2015
Pages: 360
ISBN: 978-1118961742
Print: 1118961749
Kindle: B00VOY1I98
Audience: Python programmers with data to analyze
Rating: 3.5
Reviewer:  Mike James 

Python is a good language to use to implement machine learning [ ... ]



Murach's SQL Server 2016 for Developers

Authors: Joel Murach and Bryan Syverson
Publisher: Mike Murach & Associates
Pages: 672
ISBN: 978-1890774967
Print: 1890774960

Audience: SQL Server novices
Rating: 5
Reviewer: Ian Stirk

This book is aimed at those new to SQL Server, or those with a basic understanding wanting to l [ ... ]


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Last Updated ( Tuesday, 01 May 2018 )
 
 

   
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