I need to make something clear to start with – I am a long-time DAMA member and have made good use of the Data Management Body of Knowledge (DMBOK) framework before it became the basis of the current book. My efforts to create and explain data strategies have been organized around the DMBOK topics, so I had high expectations for this guide, given that some of our industry’s best talents have contributed to the book. Thankfully, I was not disappointed. The book is a must-have, and one that I plan to consult frequently as I explain and improve data architectures. In addition, I will be referring to the companion book, The DAMA Dictionary of Data Management, which provides definitions and descriptions of more than 800 data management terms.

The clear audience for this book is the data management professional. Data architects, data modelers, data stewards and data administrators will find this book to be very useful. In addition, students and others who want to enter the ranks of data management professionals will benefit. The book should appeal to a diverse audience beyond the data management professional including: data stewards, managers, business intelligence people, business analysts, educators, researchers and consultants.

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