discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale
discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale__below

Description

Product Description

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:

  • Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas.
  • Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics.
  • Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals.
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:
  • Data is an asset with unique properties
  • The value of data can be and should be expressed in economic terms
  • Managing data means managing the quality of data
  • It takes metadata to manage data
  • It takes planning to manage data
  • Data management is cross-functional and requires a range of skills and expertise
  • Data management requires an enterprise perspective
  • Data management must account for a range of perspectives
  • Data management is data lifecycle management
  • Different types of data have different lifecycle requirements
  • Managing data includes managing risks associated with data
  • Data management requirements must drive information technology decisions
  • Effective data management requires leadership commitment
Chapters include:
  • Data Management
  • Data Handling Ethics
  • Data Governance
  • Data Architecture
  • Data Modeling and Design
  • Data Storage and Operations
  • Data Security
  • Data Integration and Interoperability
  • Document and Content Management
  • Reference and Master Data
  • Data Warehousing and Business Intelligence
  • Metadata Management
  • Data Quality Management
  • Big Data and Data Science
  • Data Management Maturity Assessment
  • Data Management Organization and Role Expectations
  • Data Management and Organizational Change Management
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.

About the Author

DAMA International is a not-for-profit, vendor-independent association of technical and business professionals dedicated to advancing concepts and practices related to managing data and information in support of business strategy. With chapters throughout the world, DAMA International supports an empowered global community of information professionals by focusing on our five pillars: Membership; Certification and Education; Publications and Research; Chapters and Partnerships. DAMA International encourages best practice behavior through a network of connected individuals and organizations who share ideas, trends, problems, and solutions and who look to DAMA as the trusted, collaborative central resource for all things data. Visit dama.org to learn more.

Product information

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Videos

Help others learn more about this product by uploading a video!
Upload video
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who bought this item also bought

Customer reviews

4.7 out of 54.7 out of 5
339 global ratings

Top reviews from the United States

MemberSince1999
5.0 out of 5 starsVerified Purchase
A must-have for any systems engineer or analyst exploring data management
Reviewed in the United States on January 6, 2018
This book is a very comprehensive treatment of data management, data modeling, meta-data, etc. It is absolutely complete. And also chock full of very valuable references.
10 people found this helpful
Helpful
Report
Amazon Customer
5.0 out of 5 starsVerified Purchase
Value for Money
Reviewed in the United States on January 5, 2019
Value for money. Well written and knowledgeable informed writer for the new hot thong in IT.
5 people found this helpful
Helpful
Report
B. Clarke
5.0 out of 5 starsVerified Purchase
Must have for data
Reviewed in the United States on September 29, 2021
This book is a must have if you are going to get deep and dirty in data. It is a big read, but there are serious discussions in there.
Helpful
Report
Kristofer Carlson
5.0 out of 5 starsVerified Purchase
A resource for understanding Data Management.
Reviewed in the United States on March 5, 2018
This is how a body of knowledge should be written. You can actually learn about Data Management from this book.
6 people found this helpful
Helpful
Report
Willem Koenders
5.0 out of 5 starsVerified Purchase
Great state
Reviewed in the United States on February 29, 2020
Great state, exactly as advertised.
Helpful
Report
Jean Foltz
5.0 out of 5 starsVerified Purchase
Was exactly as advertised!
Reviewed in the United States on March 25, 2020
Everything was as advertised! Came within a reasonable time!
Helpful
Report
Connie Hall
5.0 out of 5 starsVerified Purchase
Informative
Reviewed in the United States on January 29, 2018
Essential book for data professionals!
4 people found this helpful
Helpful
Report
Mani
2.0 out of 5 starsVerified Purchase
Needs Improvement
Reviewed in the United States on August 24, 2019
The book is well explained. Lacks the potorial representation of the concepts as well as the real world examples.
Helpful
Report

Top reviews from other countries

Gerald Dunn
5.0 out of 5 starsVerified Purchase
Excellent Framework - provides context and scope for all Data projects
Reviewed in the United Kingdom on May 18, 2019
For the aspiring Data Management Professional, or indeed for anyone involved in framing or executing a data project, DAMA International (dama.org) and this book the “Data Management Body of Knowledge v2” is an excellent starting point. It lays out 10 Knowledge areas all...See more
For the aspiring Data Management Professional, or indeed for anyone involved in framing or executing a data project, DAMA International (dama.org) and this book the “Data Management Body of Knowledge v2” is an excellent starting point. It lays out 10 Knowledge areas all linked by a central theme of Data Governance that offer a broader context in which to think about your change. Those elements are: • Data Architecture • Data Modeling and Design • Data Storage & Operations • Data Security • Data Integration & Interoperability • Document & Content Management • Reference & Master data • Data Warehousing & Business Intelligence • Metadata • Data Quality Each chapter has a standard layout with the following sections: • Introduction • Activities • Tools • Techniques • Implementation Guidelines • Governance approach • Recommended Reading There is always a challenge in this kind of framework between outlining ‘what to do’ but stopping short of the voluminous, technical and perhaps constantly changing content of ‘how to do it’. Many frameworks do not set out to address the latter. This book does delve into a number of detailed approaches which I think is useful to the reader who wants as much as possible in one place. However this adds to the challenge of the less technical audience so if you are in the second group then some judicious skimming might be in order. Equally, if your project if of a particular type, then you might be able to dispense with one or two other chapters…for example if you have a Metadata project then perhaps the DW&BI chapter is superfluous. That said I would certainly recommend a look at general issues like Data Architecture and Data Quality just to ensure you are not missing anything. Overall I found the quality and consistency of the content pretty high..there are one or two quibbles in a couple of other reviews but not material to my mind. The areas I did find worthy of comment were as follows: I say 10 Knowledge Areas because that is how many elements there are on the ‘Wheel’ infographic, but in fact they are additional chapters: • Data Handling Ethics • Big Data and Data Science • Data Management Maturity Assessment • Data Management Organisation and Role Expectations • Data Management and Organization Change Management No explanation is given as to why these elements don’t make it onto the ‘Wheel’ graphic. Perhaps the last 3 could be classified as project hygiene but Big Data is every bit a part of the current data conversation as BI, and I get the feeling Data Ethics will be front and centre of many projects in the coming years. Second, and inevitably, DAMA and the book reinforce the need for a Chief Data Officer, just as every other organisation claim the need for CxO. This is good news for office furniture makers as the market for boardroom chairs expands, but the fragmentation of CIO/CTO/CISO/CDO/etc is potentially very confusing. People just end up looking at one another whilst the ball rolls off under the sofa. I would focus on the tasks, and simply engaging with the business, rather than hiring a new senior tourist of a manager. Finally, I like the Data Management Principles, and the attempt to structure a sensible conversation around vacuous ‘value of data’ or ‘data is the new oil’ statements. (Do you mean buried in the ground and covered by anti-fracking laws?). However, I find it a little curious that the opening reference (page 17) quotes a piece of research from Evans and Price back in 2012: “Few organisations actively manage data as an asset from which they can derive ongoing value”. That may have been true then and may still be true now…but surely there has been a lot of work done both by organisations and academics since 2012, not least by Evans and Price themselves. I would have thought a more up to date, more authoritative piece of follow up research could have been the opening paragraph, if only to highlight the work DAMA have done and the work that still needs to be done. Last quibble…I couldn’t find a Kindle version which is anathema to me now. The hard copy is £50 but there is a free trial on O’Reilly that the casual browser might look at first. The quibbles are minor…overall a very useful resource - well done all contributors.
5 people found this helpful
Report
Mr S
3.0 out of 5 starsVerified Purchase
Inconsistencies and sloppy mistakes, but still useful
Reviewed in the United Kingdom on February 28, 2019
Overall, the book is useful, but there are a number of inconsistencies and mistakes that shouldn''t exist in a book that costs > £50. For example, on page 43 ''Data Storage & Operations'', ''Integration & Interoperability'' etc are listed under ''Use & Enhance'', while on page 44...See more
Overall, the book is useful, but there are a number of inconsistencies and mistakes that shouldn''t exist in a book that costs > £50. For example, on page 43 ''Data Storage & Operations'', ''Integration & Interoperability'' etc are listed under ''Use & Enhance'', while on page 44 they''re listed under ''Enable & Maintain''. The latter makes much more sense. These inconsistencies could lead to some interesting mistakes. While they''re navigable for many, folks who a new to Data Management could learn some bad habits. The next issue is the Index. It''s mostly, but not always alphabetical. This is arguably and important function of an index. E.g. page 580 these all follow each other: Documents and content, 288 Knowledge area, 37 Metadata, 394 Reference and master data, 328 Contractual Restrictions, 228 <---- Turns out we weren''t yet done with the Cs. Control activity, 38 I suspect there are more issues, but I''ve not had the book too long. The book is still useful, just exercise caution if it''s being used as a data management bible. It could cause issues for exam prep etc.
4 people found this helpful
Report
BertieLicious
5.0 out of 5 starsVerified Purchase
Excellent Content, Poor Printing
Reviewed in the United Kingdom on October 23, 2017
This is an excellent, authoritative publication on Data Management and I would strongly recommend it. I ordered a printed copy from Wordery which is in black and white (this doesn''t work for a lot of the illutsrations in the book) and suffers from poor quality printing. The...See more
This is an excellent, authoritative publication on Data Management and I would strongly recommend it. I ordered a printed copy from Wordery which is in black and white (this doesn''t work for a lot of the illutsrations in the book) and suffers from poor quality printing. The biggest issue with the print quality is the smudged, shadow effect on many of the pages. I''ve now bought the electronic version.
2 people found this helpful
Report
Amazon Customer
5.0 out of 5 starsVerified Purchase
Great coverage
Reviewed in the United Kingdom on November 26, 2018
Great coverage of overall topics with references to sources further study on the topic of interest.
Report
Ravi
5.0 out of 5 starsVerified Purchase
DAMA is a better framework in place for all the Enterprise Data Architects.
Reviewed in the United Kingdom on April 25, 2019
Definitely need to read this if you are a enterprise data architect.
Report
See all reviews
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Customers who viewed this item also viewed

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Explore similar books

Tags that will help you discover similar books. 9 tags
Results for: 
Where do clickable book tags come from?
Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Pages with related products.

  • computer science and engineering books

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale

discount DAMA-DMBOK: Data Management outlet sale Body of Knowledge: 2nd online sale Edition outlet online sale