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The Data-Centric Revolution: Restoring Sanity to Enterprise Information Systems
Shift from application-centric to data-centric to enable your organization to develop more efficient and successful Enterprise Information Systems.
This book is the first part of a trilogy to follow "Software Wasteland". In "Software Wasteland", we detailed the current poor state of application software development. We offered some tactical advice for reducing some of the worse of the excess. This is the first book in the "what to do instead" trilogy.
"Even if the thought of data modeling makes you cringe, Dave McComb's latest book makes the case that it is a necessary exercise for the data-driven organization. The 'Data-Centric Revolution' shows how to be data-driven in an extensible, flexible way that is baked-into organizational culture, rather than taking a typical project-by-project approach. The book is a fun, insightful and meaty read, well-illustrated, and with endless wonderful examples."
Doug Laney , Principal, Data & Analytics Strategy, Caserta, and author of the best-seller, " How to Monetize, Manage, and Measure Information for Competitive Advantage"
"Dave McComb has laid out a roadmap to travel the exciting path towards data centricity. Dave’s passion for semantic modeling is contagious and his expert advice will give you the motivation to rethink application development and the direction needed to deliver value in your organization with linked data."
Nic Seyot , Executive Director, Information Management at a major investment bank
"In his new book, Dave teaches us why most of the stack we've spent decades trying to maintain is just a big, unmanageable pile of duplicative, inflexible code. He shows us how to collapse the stack and blend the logic and data each business needs to thrive, in one contextually rich, machine readable, dynamic, smart data layer. The bloated app and process layers of the stack go away, leaving a thin execution layer calling on the power of the smart data underneath. After 'Software Wasteland' explained the problem, 'The Data-Centric Revolution' articulates the solution."
Alan Morrison , Sr. Research Fellow, New Services and Emerging Tech, PwC
From the age of punched cards to today's internet-driven systems, one thing has stayed fairly software vendors and their implementers have been driving the Enterprise IT industry. This is changing. It will be hard to see initially, but it's already happening in some more prescient organizations.
As organizations realize they can take control of their own destiny by adopting data-centric principles, they will see their dependency on application software wither. The cost of running internal information systems will drop at least ten-fold, and the cost of integrating them will drop even more rapidly. This will decimate the $400 billion/ year application software industry and the $400 billion/year systems integration industry. The benefit will accrue to the buyers, and will accrue earliest to the first movers.
This book is the first part of a trilogy to follow "Software Wasteland". In "Software Wasteland", we detailed the current poor state of application software development. We offered some tactical advice for reducing some of the worse of the excess. This is the first book in the "what to do instead" trilogy.
"Even if the thought of data modeling makes you cringe, Dave McComb's latest book makes the case that it is a necessary exercise for the data-driven organization. The 'Data-Centric Revolution' shows how to be data-driven in an extensible, flexible way that is baked-into organizational culture, rather than taking a typical project-by-project approach. The book is a fun, insightful and meaty read, well-illustrated, and with endless wonderful examples."
Doug Laney , Principal, Data & Analytics Strategy, Caserta, and author of the best-seller, " How to Monetize, Manage, and Measure Information for Competitive Advantage"
"Dave McComb has laid out a roadmap to travel the exciting path towards data centricity. Dave’s passion for semantic modeling is contagious and his expert advice will give you the motivation to rethink application development and the direction needed to deliver value in your organization with linked data."
Nic Seyot , Executive Director, Information Management at a major investment bank
"In his new book, Dave teaches us why most of the stack we've spent decades trying to maintain is just a big, unmanageable pile of duplicative, inflexible code. He shows us how to collapse the stack and blend the logic and data each business needs to thrive, in one contextually rich, machine readable, dynamic, smart data layer. The bloated app and process layers of the stack go away, leaving a thin execution layer calling on the power of the smart data underneath. After 'Software Wasteland' explained the problem, 'The Data-Centric Revolution' articulates the solution."
Alan Morrison , Sr. Research Fellow, New Services and Emerging Tech, PwC
From the age of punched cards to today's internet-driven systems, one thing has stayed fairly software vendors and their implementers have been driving the Enterprise IT industry. This is changing. It will be hard to see initially, but it's already happening in some more prescient organizations.
As organizations realize they can take control of their own destiny by adopting data-centric principles, they will see their dependency on application software wither. The cost of running internal information systems will drop at least ten-fold, and the cost of integrating them will drop even more rapidly. This will decimate the $400 billion/ year application software industry and the $400 billion/year systems integration industry. The benefit will accrue to the buyers, and will accrue earliest to the first movers.
295 pages, Kindle Edition
Published August 19, 2019
26 people are currently reading
82 people want to read
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Displaying 1 - 2 of 2 reviews
March 11, 2025
What I most value about this book is how clearly it expresses that the best technology or idea doesn’t always win. Many obstacles stand in its way: institutional inertia, powerful players benefitting from the status quo, or internal politics. I see my own experience from 15 years in software engineering reflecting in these factors.
The technical part is my daily bread, but it was refreshing to read about it flavoured with the author’s enthusiasm.
One pet peeve I have is the confused explanation of big data’s velocity, mistaking it for query latency.
Overall a great book. I wish my manager read it.
The technical part is my daily bread, but it was refreshing to read about it flavoured with the author’s enthusiasm.
One pet peeve I have is the confused explanation of big data’s velocity, mistaking it for query latency.
Overall a great book. I wish my manager read it.
September 6, 2020
The author presents an interesting point of view about software development and why there is something missing in the traditional approaches. It provides a good justification for semantic technologies with which I definitely agree.
Displaying 1 - 2 of 2 reviews