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Chapter 19. Data Warehousing and Data Mining

Chapter 19. data Warehousing and data MiningTable of contents Objectives Context General introduction to data Warehousing What is a data warehouse? Operational systems vs. data Warehousing systems Operational systems data Warehousing systems Differences between operational and data Warehousing systems Benefits of data Warehousing systems data warehouse architecture Overall architecture The data warehouse data transformation Metadata Access tools Query and reporting tools Application development tools Executive information systems (EIS) tools OLAP data Mining tools data visualisation data marts Information delivery system data warehouse blueprint data architecture Volumetrics Transformation data cleansing data architecture requirements Application architecture Requirements of tools Technology architecture Star schema design Entities within a data warehouse Measure entities Dimension entities Category detail entities Translating information into a star schema data ex

OLAP tools vs. data mining tools – Website analysis tools vs. data mining tools – Data mining tasks – Techniques for data mining – Data mining directions and trends • Data mining process – The process overview – The process in detail ∗ Business objectives determination ∗ Data preparation · Data selection · Data pre ...

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Transcription of Chapter 19. Data Warehousing and Data Mining

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