The Data Administration Newsletter
APRIL 3, 2024
It lets me discuss what I learned from a newly released data management book. When I publish a book through Technics Publications, I see the manuscript mostly through the eyes of a publisher. I love writing this column for TDAN. But when I write this column, I see the manuscript through the eyes of a […]
Dataversity
SEPTEMBER 18, 2023
As some of you already know, I am dedicating these summer days to the writing of my new book, “99 Questions About Data Management,” which follows in some way the book “20 Things You Have to Know About Data Management.”
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The Data Administration Newsletter
APRIL 4, 2023
Why would Technics Publications publish a book outside its specialty of data management? First, Graham is a world-renowned data modeler and the author of Data Modeling for Quality, and therefore many of his examples are in the field of data management. Second, and more […]
The Data Administration Newsletter
JANUARY 5, 2021
Sometimes I like to read a book purely for pleasure, like a good Dan Brown or Stephen King novel, and sometimes I like to read a book to learn something new. There are not many books that I read for both pleasure and to learn new things. One exception is Telling Your Data Story: Data […].
The Data Administration Newsletter
JANUARY 17, 2024
I never realized how complex data privacy rules can be for multinational companies until I read “Data Privacy Across Borders” by Lambert Hogenhout and Amanda Wang.
The Data Administration Newsletter
OCTOBER 17, 2023
What makes a data book great? Our time is valuable, so a good data book should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter. It should […]
The Data Administration Newsletter
JULY 4, 2023
From Bob Seiner’s first book, Non-Invasive Data Governance, we learned how to get the benefits of data governance without making major changes to our job roles or functions. We avoid the “command and control” approaches and still have people responsible for the organization’s data without reorgs or undue employee stress.
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