DAMA-DMBOK: Data Management Body of Knowledge
- Downloads：8050
- Type：Epub+TxT+PDF+Mobi
- Create Date：2021-06-01 09:50:57
- Update Date：2025-09-07
- Status：finish
- Author：DAMA International
- ISBN：1634622340
- Environment：PC/Android/iPhone/iPad/Kindle
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Reviews
Nacho
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One of the yet very few books on the topic of Data Governance， setting the standard of the field。
Bas Langenberg
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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。 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。 。。。more
Drewes
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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 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 。。。more
David Rivera
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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。
Steve Whiting
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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 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 。。。more
Anjar Priandoyo
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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
Mike Fowler
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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。
Mirjam
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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。 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。 。。。more
Emre Sevinç
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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 le 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。 。。。more
Steffen
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