New IBM Press Book
Data Integration Blueprint and Modeling: Techniques for a Scalable and Sustainable Architecture
Anthony David Giordano
A complete best-practice data integration blueprint for reducing data warehouse costs and improving results
Mr. Giordano begins with an overview of the “patterns” of data integration, showing how to build blueprints that smoothly handle both operational and analytic data integration. Next, he walks through the entire project lifecycle, explaining each phase, activity, task, and deliverable through a complete case study. Finally, he shows how to integrate data integration with other information management disciplines, from data governance to metadata. The book’s appendices bring together key principles, detailed models, and a complete data integration glossary.
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More details on the book:
Today’s enterprises are investing massive resources in data integration. Many possess thousands of point-to-point data integration applications that are costly, undocumented, and difficult to maintain. Data integration now accounts for a major part of the expense and risk of typical data warehousing and business intelligence projects--and, as businesses increasingly rely on analytics, the need for a blueprint for data integration is increasing now more than ever.
This book presents the solution: a clear, consistent approach to defining, designing, and building data integration components to reduce cost, simplify management, enhance quality, and improve effectiveness. Leading IBM data management expert Tony Giordano brings together best practices for architecture, design, and methodology, and shows how to do the disciplined work of getting data integration right.
Implementing repeatable, efficient, and well-documented processes for integrating data
Lowering costs and improving quality by eliminating unnecessary or duplicative data integrations
Managing the high levels of complexity associated with integrating business and technical data
Using intuitive graphical design techniques for more effective process and data integration modeling
Building end-to-end data integration applications that bring together many complex data sources
About the Author
Anthony Giordano is a partner in IBM’s Business Analytics and Optimization Consulting Practice and currently leads the Enterprise Information Management Service Line that focuses on data modeling, data integration, master data management, and data governance. He has more than 20 years of experience in the Information Technology field with a focus in the areas of business intelligence, data warehousing, and Information Management. In his spare time, he has taught classes in data warehousing and project management at the undergraduate and graduate levels at several local colleges and universities.
I recently read this article Highest paid enterprise IT jobs in demand for 2011, By Don Sears. This is a a countdown of the technology job titles in the United States with the most growth percentage between 2010 and 2011. The range for salaries—based on data published by staffing expert Robert Half Technology in its "2011 Salary Guide"—starts at a 4.5 percent increase and caps out at 5.5 percent. One of the jobs mentioned is Data Modeler. I can’t think of a better book to recommend for this job than the one just published by Anthony.