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.
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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Functional Design (Addison-Wesley)
Author: Robert C. Martin Publisher: Addison-Wesley Date: September 2023 Pages: 384 ISBN: 978-0138176396 Print: 0138176396 Kindle: B0CGHQKGYG Audience: General Rating: 4.5 Reviewer: Kay Ewbank
This book sets out to explain the principles, patterns and practices of functional design, and why functional prog [ ... ]
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Machine Learning Q and AI (No Starch Press)
Author: Sebastian Raschka Publisher: No Starch Press Date: April 2024 Pages: 264 ISBN: 978-1718503762 Print: 1718503768 Kindle: B0CKKXCK3T Audience: Developers interested in AI Rating: 4 Reviewer: Mike James Q and AI, a play on Q&A is a clever title, but is the book equally clever?
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