DAMA-DMBOK: Data Management Body of Knowledge

by DAMA International

The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management.

Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that value. As our ability and desire to create and exploit data has increased, so too has the need for reliable data management practices.

The second edition of DAMA International's Guide to the Data Management Body of Knowledge (DAMA-DMBOK2) updates and augments the highly successful DMBOK1. An accessible, authoritative reference book written by leading thinkers in the field and extensively reviewed by DAMA members, DMBOK2 brings together materials that comprehensively describe the challenges of data management and how to meet them by: DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Chapters include: Standardization of data management disciplines will help data management professionals perform more effectively and consistently. It will also enable organizational leaders to recognize the value and contributions of data management activities.

Genres: Business, Nonfiction, Computer Science, Technology, Software, Technical

588 pages, Paperback

Published July 1, 2017

Reviews

[Emre Sevinç · Rating 5 out of 5]

This approximately 650-page book is not something you read from cover to cover enthusiastically, and I've actually heard people referring to it "yes, that thick blue book that nobody reads". It's a shame, because this is a pretty good book! (That deserves a less boring cover, if I may say so.)

The book's strongest selling point is bringing very different set of people to the same page, and making them use a common language. It's not infrequent to see Vice Presidents, Business Intelligence team leads, data stewards, big data developers, data scientists, and database administrators use very different terminology even if they're discussing the same topic, in the same meeting. In order to prevent people talking past each other, having a body of knowledge that you can frequently refer to, and that's based on de facto standards and definitions is invaluable.

The book covers a lot of ground, and therefore depending on what particular role you have as a data management professional such as a database administrator, developer, Data Steward, Data Strategist, or Chief Data Officer, different sections will deserve your focus. In my case as a Data Officer, I found chapters on Data Governance, Data Architecture, Data Modelling, Metadata Management, and Data Quality particulary useful and I was also happily surprised to see a whole chapter dedicated to the difficult, yet oftentimes ignored topic of Organizational Change Management.

I have no doubt that I'll return back to many of the chapters to revise established practices for data management, and also recommend some relevant chapters to the colleagues. Moreover, I already found the recommended reading section at the end of many of the chapters very useful.

[Steve Whiting · Rating 5 out of 5]

It's hard going to read through, because it's so dense with relevant infomation - little nuggets and nuances are everywhere amongst the major threads and themes. It's rare to have a book where just about everything is relevant and nothing can be skipped.

It's a very good summation of the state of the art - broad and fairly deep as well, and absolutely essential for anyone following the CDMP qualification path

[Steffen · Rating 1 out of 5]

Gort en gort droog. Ondanks het feit dat het direct van toepassing is op mijn werk vond ik er geen doorkomen aan. Ik heb er bijna twee maanden over gedaan en het was niets dan een worsteling. Het is zowel oninteressant als slecht geschreven, merkbaar ieder hoofdstuk door een andere auteur. Het is ook niets meer dan een groslijst van onderwerpen die spelen in net vakgebied zonder enig houvast qua methoden voor invoering. Het stokt bij “maak een plan ABC”. Het examen was te doen, grotendeels met common sense, met veel vragen die geen betrekking op het boek leken te hebben.

[Bas Langenberg · Rating 3 out of 5]

This is not a "nice" book to read. It's dense with information and it has a lot of it. The main reason I read this book was due to me pursuing the CDMP certification. I expect to use this book in the future, as a reference to data management concepts.

Quality varies much chapter by chapter. Overall, it does a good job explaining the fundamentals, but I feel it could have been much shorter, clearer and to the point.

[Mirjam · Rating 4 out of 5]

I like this book and I hate it. I like it because it covers all the topics you need to know to be a good data manager. And it covers them well.
I hate it because my students don't want to read it and I can't blame them.
The cover couldn't be more boring, the chapters have a variety of mediocre writing styles and some of the diagrams won't help you in the daily data practice.

[Anjar Priandoyo · Rating 5 out of 5]

Very good book, its a reference book, but it is very clear. Cover every term and jargon in Data Universe, from Data Management to Data Science/Big Data/Analytics

[Pablo María Fernández · Rating 4 out of 5]

This is a very comprehensive guide to the Data Management world. I have a master’s degree and read many other books in this field but still found lots of useful information here. Using DAMA’s wheel (Data Governance, Architecture, Modeling & Design, Storage & Operations, Security, Integration & Interoperability, Document & Content Management, Reference and Master Data, Data Warehousing & Business Intelligence, Metadata and Data quality) it provides a systematic approach to each aspect: concepts, frameworks, tools and techniques, implementation guidelines, metrics. Each chapter comes with an extensive bibliography that lets you deepen in any topic of your interest. Maybe too schematic to read it in a linear way like I did (I skimmed through some of the most dry paragraphs), I’m sure I’ll come back to it to find useful advice for my day-to-day challenges. If you work with data, this is a must-read book.

[Óscar Krahe · Rating 5 out of 5]

Read it to prepare for the CDMP certification. I created a deck of ANKI flashcards from the book that I’d happily share with anyone interested.

Regarding the book itself, it's not an easy read, but that’s mainly because it’s a reference book, not something you can breeze through in a few weeks. That said, I believe most topics are well covered, and the book is pretty comprehensive. I especially loved the last chapter, "Data Management and Organizational Change Management," which I think would provide great value to any professional, whether they work in data or not.

[Hassan Zayour · Rating 5 out of 5]

This book is probably the most comprehensive data management source out there. I enjoyed everything I learned throughout every chapter. Perhaps the last 2 chapters are not as rich or useful as the ones before, but overall I would highly recommend it to all data professionals.
Try to become a Certified Data Management Professional if you decide to read this book. The exam would test your knowledge of the material in the DMBOK.

[Mike Fowler · Rating 4 out of 5]

Very thorough overview of data management. Further proof reading would improve the overall readability. Passed the Certified Data Management Professional Fundamentals exam on first attempt.

[David Rivera · Rating 5 out of 5]

Bare in mind that this is a guide, you might not read it in order. If you know where yo look, you will find all the foundational knowledge to properly manage data.

[Drewes · Rating 3 out of 5]

Lot's of value for the data professional and a great reference book. But it lacks the consistency in "inter chapter" authorship and editing leaving seceral chapters hard to read with a few hiatuses

[Nacho · Rating 5 out of 5]

One of the yet very few books on the topic of Data Governance, setting the standard of the field.

[Brandy]

Very informative for any career involving data processing, management, etc.

[Gladys Zamora · Rating 4 out of 5]

Buena guía sobre el manejo de datos actualmente y sus distintos ámbitos de tratamiento en organizaciones.

[Arturo · Rating 5 out of 5]

great book for data governance and management enthusiasts that want to learn about this topics

[Jonathan · Rating 5 out of 5]

A Complete Data governance guide