پیکره دانش مدیریت داده DMBOK

by DAMA International, علی کمندی (Translator), زهرا فرحی (Translator)

مجموعه ای از اصول، استانداردها و راهنمای مدیریت درست داده ها توسط انجمن مدیریت داده که به اختصار داما نامیده می شود، گردآوری شده و منتشر شده است. این کتاب امیدوار است به مخاطبان خود کمک کند تا نگرش کاملی نسبت به مفاهیم مدیریت داده پیدا کنند و با فرایند آن و نحوه اجرای پروژه های مدیریت داده در سازمانها آشنا شوند.

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

436 pages

First published January 1, 2010

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.

[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.

[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.

[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

[Mahmoud Nabil · Rating 4 out of 5]

very informative

[Zaher Alhaj · Rating 4 out of 5]

For decades, having a comprehensive and integrated approach for data management has been the holy grail for IT professionals. This was one the most overlooked aspect in ICT industry, as IT professionals tend to see Data from their silo-ed functional standpoint (Data Modeling, Database Administration, Data Security, Databases development, etc.,..). It was not until the publishing of DAMA DMBOK that we had this framework, as DAMA-DMBOK provides a solid framework to address Data Management covering 10 different functional areas.
Things that I hope the next editions of this wonderful guide to focus on are:
- More elaboration on the NoSQL databases.
- It is highly valuable if the guide provides short descriptions of the techniques used in DM, such as Data Modeling (relational, multi-dimensional, NoSQL models, etc. ), Ontologies modeling, Information value chain modeling, data flows, data lineages, data integration modeling, etc.
- I think the guide could elaborate a bit on the links and touch points between data management and knowledge management.
- How the data management will be utilized or affected by Service-oriented architecture concepts.

All in all, we are eagerly waiting the next edition of DMBOK this year.

[Cristel Fuentes · Rating 1 out of 5]

DAMA Guía de fundamentos para gestión de datos

Libro con pésima traducción, errores ortográficos. Muy baja calidad.
No recomiendo la versión en español, demasiados errores, es un desastre!

[LeerconCarol · Rating 4 out of 5]

Grandes pautas para llevar un gobierno de datos

[Arturo · Rating 5 out of 5]

the ultimate guide for all enthusiasts of government and master data management