--- product_id: 49017970 title: "DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition" price: "₨77013" currency: LKR in_stock: true reviews_count: 13 url: https://www.desertcart.lk/products/49017970-dama-dmbok-data-management-body-of-knowledge-2nd-edition store_origin: LK region: Sri Lanka --- # Top 5 in Database Management Books 10+ core data management knowledge areas 2nd edition updated & authoritative DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition **Price:** ₨77013 **Availability:** ✅ In Stock ## Summary > 📈 Elevate your data game with the ultimate management playbook! ## Quick Answers - **What is this?** DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition - **How much does it cost?** ₨77013 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.lk](https://www.desertcart.lk/products/49017970-dama-dmbok-data-management-body-of-knowledge-2nd-edition) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Authoritative & Updated:** 2nd edition with cutting-edge insights from industry leaders. - • **Proven Industry Standard:** Trusted by 800+ reviewers with a 4.6-star rating and bestseller status. - • **Comprehensive Data Mastery:** Unlock 10+ essential knowledge areas from governance to big data. - • **Cross-Functional Expertise:** Bridges IT, business, and leadership for holistic data value realization. - • **Enterprise-Ready Framework:** Practical guidance for implementing scalable data management strategies. ## Overview DAMA-DMBOK2 is the definitive 2nd edition guide to enterprise data management, covering 10+ knowledge areas including governance, architecture, quality, and big data. It offers a practical, cross-functional framework authored by leading experts, designed to help professionals and executives unlock the economic value of data. With top rankings in database management and a strong 4.6-star user rating, it’s the go-to resource for mastering data as a strategic asset. ## 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. Review: Excellent Framework - provides context and scope for all Data projects - 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. Review: Good - Firstly, you can buy this book digitally from Dama for $50 and this paperback is just for those that want a paper reference copy or prefer to sit the open book exams with a paper copy. An intimidating tome but enjoyable to read and obviously comes from significant amounts of high value first hand experience. If you have a qualification in CS or IT and want a sort of refresher on technical enterprise data concepts then this is perfect for that. Never goes into too much depth for both abstract and technical concepts, it's a guide on how to think and constantly references technical and abstract concepts where I'd say the expectation is that you then seek further reading for full understanding. I'm not sure that the qualification is widely recognised but I think the knowledge within the qualification is quite valuable. ## Features - New Store Stock ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | 29,052 in Books ( See Top 100 in Books ) 3 in Database Management Systems (Books) 4 in Computer Databases (Books) 5 in Beginner's Guide to Databases | | Customer Reviews | 4.6 out of 5 stars 838 Reviews | ## Images ![DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition - Image 1](https://m.media-amazon.com/images/I/61YfywoPJvL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Excellent Framework - provides context and scope for all Data projects *by G***N on 18 May 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 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. ### ⭐⭐⭐⭐⭐ Good *by J***D on 10 December 2023* Firstly, you can buy this book digitally from Dama for $50 and this paperback is just for those that want a paper reference copy or prefer to sit the open book exams with a paper copy. An intimidating tome but enjoyable to read and obviously comes from significant amounts of high value first hand experience. If you have a qualification in CS or IT and want a sort of refresher on technical enterprise data concepts then this is perfect for that. Never goes into too much depth for both abstract and technical concepts, it's a guide on how to think and constantly references technical and abstract concepts where I'd say the expectation is that you then seek further reading for full understanding. I'm not sure that the qualification is widely recognised but I think the knowledge within the qualification is quite valuable. ### ⭐⭐⭐⭐⭐ DAMA-DMBOK *by A***R on 13 April 2026* Excellent read. ## Frequently Bought Together - DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition - Navigating the Labyrinth: An Executive Guide to Data Management - Data Governance --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.lk/products/49017970-dama-dmbok-data-management-body-of-knowledge-2nd-edition](https://www.desertcart.lk/products/49017970-dama-dmbok-data-management-body-of-knowledge-2nd-edition) --- *Product available on Desertcart Sri Lanka* *Store origin: LK* *Last updated: 2026-07-06*