The Rise of Logical Data Management

Preface

Data management has been around as long as we have had data. To the layperson it sounds easy: you have an observation, and you record it. But as anybody who has worked with data can attest, managing it is often fraught with complexities. Figuring out how to structure data so it can be found easily and quickly, as well as keeping it accurate, is hard in itself. On top of that, the same data needs to serve the disparate needs of different users.

Whether you are navigating the complexities of today’s data landscapes or have largely simplified your landscape with a modern data lakehouse solution, you may encounter challenges delivering the right data, formatted in the right way and at the right time, to meet dynamic business needs. You might find that a data lakehouse, on its own, is unable to provide business users with self-service data access, or that it cannot deliver real-time, governed data to artificial intelligence (AI) applications, which is necessary for their success.

Who This Book Is For

This book is for business leaders and senior technologists who are charting a course through today’s complex data ecosystems. It provides an in-depth look at logical data management, which can operate in tandem with modern data lakehouse solutions, augmenting their capabilities.

This book sheds light on the inner workings of logical data management and demonstrates its strategic value across various businesses. Whether the objectives involve enhancing AI capabilities; promoting ...