Data Management: a gentle introduction - 2nd edition (eBook, PDF)
Balancing theory and practice
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#html-body [data-pb-style=EGG8YBP]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}The overall objective of this second edition is to reaffirm that data management is an exciting and valuable capability - one that deserves dedicated time and effort. Building on the foundation of the first edition, this updated version introduces new chapters, fresh insights, and additional interviews with practitioners to reflect the evolving landscape of the field. More specifically, the b...
#html-body [data-pb-style=EGG8YBP]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}The overall objective of this second edition is to reaffirm that data management is an exciting and valuable capability - one that deserves dedicated time and effort. Building on the foundation of the first edition, this updated version introduces new chapters, fresh insights, and additional interviews with practitioners to reflect the evolving landscape of the field. More specifically, the book now aims to: Provide an enriched introduction to data management, combining core concepts with updated theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, and new real-world examples drawn from recent assignments. Offer guidance on building effective data management capabilities, illustrated through a broader set of use cases and enriched by new practitioner stories that highlight current challenges and solutions. The book continues to serve busy professionals actively involved in managing data, as well as Bachelor's and Master's students interested in the field. It remains industry-agnostic, with relevance across sectors such as government, finance, telecommunications, and more. Intended roles include: members of data governance offices or councils, data owners, data stewards, enterprise and data architects, process managers, business analysts, and IT analysts. The structure remains clear and accessible, divided into three main parts: theory, practice, and closing remarks. Chapters are concise and focused, with a clear separation between main text and examples. Readers familiar with a topic can easily skip ahead, while newcomers will find a smooth and engaging learning path.
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