- Introduction
- What's New in This Book?
- Detailed Layout of the Book
- What You Can Learn
- Brief Summary Statement
Like this article? We recommend
Like this article? We recommend
Like this article? We recommend
What's New in This Book?
This edition addresses concrete information-centric value-added chains as they prevail in specific industries. These value-added chains are presented as they emerge through new business opportunities—driven, for instance, by integration of IT sensor technology. An example is the "smart metering" concept in the energy and utilities market, which is mapped to all levels of the information architecture. This change allows for a significant reduction in painful energy-network failures and the impact of those failures on consumers, as well as empowering energy consumers to predict and optimize energy consumption and associated costs by utilizing smart electricity meters.
Vital in driving successful implementations is the widespread and integrated perspective of the application, information, and infrastructure architectures. This perspective is well underpinned with reusable "architecture patterns" that enable an accelerated software-, industry-, and theme-based landscape of project-oriented deployments.
New in this edition is the comprehensive consideration of the information supply chain within the entire enterprise, the corresponding information governance processes, and a Reference Architecture as a guiding principle for a successful information-centric transformation for IBM's customers. It's becoming increasingly important for enterprises to develop strategies and models to generate business value and to unlock business insight from the exploding growth of underlying data. Of utmost importance are further adequate concepts to facilitate advanced planning and execution strategies based on real-time processing of information, which enable advanced analytical insight to professionalize enterprise decisions at the top level.
For instance, the real-time (or, as we say, dynamic) requirements of data warehousing are becoming increasingly apparent. To address these requirements, new concepts in software and infrastructure are needed that allow for an extremely high throughput along the information integration chain, with corresponding scaling capabilities, at the same time enabling advanced business analytics in real-time. These two software and infrastructure paradigms—real-time processing of streaming data and dynamic warehousing—won't coexist side by side, but instead will coalesce in the near future. "Dynamic warehousing" and "embedded analytics" are just two slogans that technologically underpin these concepts. The Art of Enterprise Information Architecture elaborates on the Reference and Implementation Architecture of master data—the core information within every enterprise. Focus is on the build and operational aspects of quality improvements in the context of enterprise master data management (MDM) systems.
In addition to a Reference Architecture that covers the wider scope of the Enterprise Information Architecture, and relevant information-centric concepts and models, we present examples of concrete solutions. The solution areas are related to challenges in integrating information and analyzing digital media data; for instance, videos, multimedia data, and streaming data. We have even allocated a whole chapter on "mashups," discussing possibilities for making available data from different sources, such as data feeds for situational application platforms and information platforms.
Finally, we elaborate on emerging information-provisioning models in the context of cloud computing, and we present a corresponding Reference Architecture addressing information-centric prerequisites for the cloud computing paradigm.