Data Management Strategy At Microsoft Book

For decades, Microsoft was a federation of warring fiefdoms. Excel teams, Azure engineers, LinkedIn data scientists, and GitHub developers all spoke different data languages. The result was the modern corporate nightmare: siloed lakes, conflicting KPIs, and dashboards that told five different versions of the truth.

The book would end with the 2023–2024 AI revolution. Large Language Models (LLMs) are only as good as their training data. Microsoft realized that without a data management strategy, Copilot is just a confident liar. data management strategy at microsoft book

If this book were on your desk, it would be dog-eared at the chapter on the four pillars. These are not theoretical—they are deployed across 200,000 internal employees managing exabytes of telemetry. For decades, Microsoft was a federation of warring fiefdoms

The book by Aleksejs Plotnikovs (published July 19, 2024) provides a detailed roadmap for how Microsoft evolved into a data-driven powerhouse. The book would end with the 2023–2024 AI revolution

Most books cover either the technical implementation (how to write SQL) or the abstract theory (why data is important). This book bridges the gap by using Microsoft—one of the world's largest data companies—as a case study, showing how the strategy and the technology merge to create an "Intelligent Enterprise."