很好的一本书，与大家共勉！ Architects, project planners, and sponsors are always dealing with multiple technologies, conflicting techniques, and competing business agendas. This combination of issues gives rise to many challenges facing business intelligence (BI
Data warehouses have evolved because, in order for businesses to remain competitive in the marketplace, they need access to a wealth of information to help them make the right business decisions. To assist with those decisions, data may go back for
DW 2.0 The Architecture for the Next Generation of Data Warehousing DW2.0下一代数据仓库的构架 .pdf ~ 英蒙(W.H.Inmon) (作者), Derek Strauss (作者), Genia Neushloss (作者),
The size of data sets being collected and analyzed in the industry for business intelligence is growing rapidly, mak- ing traditional warehousing solutions prohibitively expen- sive. Hadoop [3] is a popular open-source map-reduce im- plementation wh
oracle ppt 教程 Data Warehousing Fundamentals 1. Business Intelligence and Data Warehousing 2. Defining Data Warehouse Concepts and Terminology 3. Planning and Managing the Data Warehouse Project 4. Modeling the Data Warehouse 5. Building the Data War
Section 1 Foundation Issues in Data Warehousing and OLAP Chapter 1 Data Warehouse Architectures: Practices and Trends............................................................................. 1 Xuegang Huang, Danske Bank Group, Denmark The wide a
