Designing a variety of data warehouse schemas suitable for meta-search

Over the last twenty years, the benefit to analyze the data has increased considerably, because the competitive advantages that information can provide the decision-making process. Today, one of the keys to survival in the business world is to be able to analyze, plan and respond to changing economic circumstances as soon as possible. Several organizations have billions of bytes of data, but they suffer from multiple problems that make it difficult to leverage data: the data are spread across various computer systems, data from different sources are inconsistent, the data be found too late, etc. to resolve these problems, new concepts and tools have evolved into a new information technology known Data Warehousing. Data Warehouse Projects (DW) are costly: they often need several years to properly implement and require millions of dollars of hardware, software and consulting services. Data Warehouse Projects (DW) are expensive: they often require several years to properly implement and need millions of dollars of hardware, software and advisory services.