Schema Changing in Data Warehouse Through Deferential Patterns

A guidance to the industry standard for designing, developing, and deploying data warehouse and business intelligence systems. The data warehousing community has changed remarkably since many books published from 1998 to date. Morteza Zaker and his colleagues have developed the original set of patterns in order to propose a method and technique based on their consulting and training experience. The author find out that a data warehousing/business intelligence (DW/BI) system needs to change as fast as its surrounding organization evolves. To that end, they walk you through the detailed steps of designing, developing, and deploying a DW/BI system based on the Hierarchical Degenerate Snowflake (HDS) . You'll learn to create high performance systems that deliver data and analyses to business users so they can make better business decisions.

Autorentext

I arrived in Malaysia in 2007 to pursue my Master and PhD program. For the past 4 years, whilst I have enjoyed my academical life enormously, I have developed my research career that is highly active in several areas of Data mining, data warehousing and artificial intelligence.