Crimes Against Data (Technics Publications)
Friday, 18 August 2023

With the strap line "101 true crime stories of people abusing and misusing data", this book starts from the premise that just because there’s data doesn’t necessarily mean it’s the right data or people are using it properly. Merrill Albert uses a series of anecdotes to loook at how data problems (data crimes) are caused by people treating data improperly, and what the impact of this is.

<ASIN:‎1634623479>

Merrill then analyzes what happened and proposes solutions. The stories illustrate the importance of getting the data right, and raise awareness of how to steer clear of data crimes, or interact with the "offender" to come to a resolution.

Author: Merrill Albert
Publisher: Technics Publications
Date: August 2023
Pages: 200
ISBN: 978-1634623476
Print: 1634623479
Kindle: B0CD2FB1F6
Audience: General
Level: Introductory
Category: Data Science

 

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)

Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
Reviewer: Mike James

Another AI/ML book - is there room for another one?



Query Store for SQL Server 2019 (Apress)

Author: Tracy Boggiano & Grant Fritchey
Publisher: Apress
Pages: 234
ISBN: 978-1484250037
Print: 1484250036
Kindle: B07YNL3X4X
Audience: SQL Server DBAs and Devs
Rating: 4
Reviewer: Ian Stirk

This book aims to use Query Store to improve your SQL Server queries, how does it fare?


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