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13 Chapter 13 The Data Warehouse Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel 1 13 Multidimensional Data Analysis Techniques (continued) Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 2 13 Multidimensional Data Analysis Techniques (continued) Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 3 13 Advanced Database Support • Advanced data access features include: – Access to many different kinds of DBMSs, flat files, and internal and external data sources – Access to aggregated data warehouse data as well as to detail data found in operational databases – Advanced data navigation – Rapid and consistent query response times – Ability to map end-user requests to appropriate data source and then to proper data access language (usually SQL) – Support for very large databases Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 4 13 Easy-to-Use End-User Interface • Many of interface features are “borrowed” from previous generations of data analysis tools that are already familiar to end users – Makes OLAP easily accepted and readily used Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 5 13 Client/Server Architecture • Provides framework within which new systems can be designed, developed, and implemented – Enables OLAP system to be divided into several components that define its architecture – OLAP is designed to meet ease-of-use as well as system flexibility requirements Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 6 13 OLAP Architecture Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 7 13 OLAP Architecture (continued) Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 8 13 OLAP Architecture (continued) • Designed to use both operational and data warehouse data • Defined as an “advanced data analysis environment that supports decision making, business modeling, and an operation’s research activities” • In most implementations, data warehouse and OLAP are interrelated and complementary environments Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 9 13 OLAP Architecture (continued) Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 10 13 OLAP Architecture (continued) Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 11 13 Relational OLAP • Provides OLAP functionality by using relational databases and familiar relational query tools to store and analyze multidimensional data • Adds following extensions to traditional RDBMS: – Multidimensional data schema support within RDBMS – Data access language and query performance optimized for multidimensional data Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 12 13 Relational OLAP Database Systems: Design, Implementation, & Management, 7th Edition, Rob & Coronel 13