Data Management Strategy at Microsoft (Packt)
Monday, 29 July 2024

This book examines Microsoft's data innovation and investment, including change management, aligning with business needs, enhancing data value, and cultivating a data-driven culture.  Aleksejs Plotnikovs highlights the importance of prioritizing genuine business needs to propel necessary modernizations through change management practices, and looks at how data-driven innovation does not solely reside within central IT engineering teams but also among the data's business owners.

<ASIN:‎ 1835469183 >

 

Author: Aleksejs Plotnikovs
Publisher: Packt Publishing
Date: July 2024
Pages: 270
ISBN: 978-1835469187
Print: ‎ 1835469183
Kindle: B0CW1KBV2P
Audience: Data managers
Level: Introductory
Category: Data Science

Topics include:

  • Develop a data-driven roadmap to achieve significant and quantifiable business goals
  • Discover the ties between data management and change management
  • Explore the data maturity curve with essential technology investments
  • Build, safeguard, and amplify your organization's unique Data Intellectual Property
  • Equip business leaders with trustworthy and high value data for informed decision-making
  • Unleash the value of data management and data governance to uplift your data investments

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

 

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Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

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Microsoft Azure For Dummies, 2nd Edition

Author: Jack A. Hyman
Publisher: For Dummies
Pages: 416
ISBN: 978-1119898061
Print:1119898064
Kindle: B0BNWG1HYK
Audience: Azure novices?!
Rating: 1 or 4.5 (see review)
Reviewer: Ian Stirk

This book aims to provide a gentle yet thorough introduction to Microsoft Azure, how does it fare? 



Grokking Machine Learning

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?


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