Data Architecture

Data Architecture

Data is an expensive and expansive asset. Information hunger has forced retention capacity from megabytes to terabytes of data. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture, secure, and extract information out of these billions of bytes of data. To ensure that it is usable, data must be structured in a flexible manner that is responsive to change, and is readily available for access. This book explains the principles underlying data architecture, how data evolves with organizations, the challenges organizations face in structuring and managing data, and the proven methods and technologies to solve these complex issues. The author takes a holistic approach to the field of data architecture from various applied perspectives, including data modeling, data quality, enterprise information management, database design, data warehousing, and data governance. Key Features Explains the fundamental concepts of enterprise architecture through definitions and real-world scenarios Teaches data managers and planners how to build a data architecture roadmap, structure the right team, and build a set of solutions for the various challenges they face Offers concise case studies that highlight how fundamental principles are put into practice.

Data Architecture

In this work, Inmon lays the foundation of an information systems architecture. Inmon first defines the information paradigm and data architecture and then discusses the evolution of the information paradigm and what its implications are. The value of this paradigm is that it lets you: evaluate present systems and opportunities in light of the model, decide upon support tools for different activities that are appropriate throughout the model, and position your organization to support components of the model that are not in place.

Data Architecture