Data Architecture

Data is an expensive and expansive asset. Informatio hunger has forced retention capacity from megabytes to terabytes of data. Soon there will be Exabytes, and then Zetabytes. There is a constant search for space for the billions of bytes of data we need to perform our information processing. Millions of dollars are spent accumulating data, and millions more are paid to the professional staff that nurture, husband, and secure it. Additional millions are paid to the professionals that tease information out of theses billions of bytes of data. Billions of dollars are being spent for this asset; it would seem prudent to design the structures that hold it is such a manner as to be flexible and responsive to change as well as readily available for information access. This book explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing data, and it discusses proven methods and technologies to solve the complex issues dealing with data. The author takes a holistic approach to the field of data architecture various applied perspectives, including data modeling, data quality, enterprise information management, database design, data warehousing, and data governance.