2 the Operational System VS. the Data Warehouse Differences betweenthe Operational System VS. the Data WarehouseData in Operational SystemHigh volume, detailedHigh update frequencyRecord oriented, optimized for performanceCurrent data onlyInternal data of one application2. Data in a Data WarehouseMedium volume, summarizedLow update frequency (daily, weekly)optimized for queries, accessible for analysisPast and present dataUsed for several application (OLAP, DSS,...)MIS: Pichai Takkabutr EAU 2005
7 Data Extraction & Integration Getting heterogenous data into the Warehouse: Data from different DBMSs (Data base management system), external information providers, various standard applications,... Tasks:Extraction (accessing different databases)Cleaning (resolving inconsistencies)Transformation (different formats, languages)Replication (importing a whole DB)Analyzing (detecting invalid values)Checking for data quality (correctness, completeness)Update metadata, if necessaryMIS: Pichai Takkabutr EAU 2005
8 Data Aggregation & Customization Getting (multidimensional) data out of the Warehouse as the input for:Reporting (summarized by: who, when, where, what)Query toolsOnline analytical processing (OLAP)Geographic information systems (GIS)Decision support systems (DSS)Executive information systems (EIS)Data MiningMIS: Pichai Takkabutr EAU 2005
9 Implementation of a Data Warehouse Several providers (IBM, Oracle, ...) offer Data Warehouse Systems. But:Warehouses are not sold as of-the-shelf productsAvailable products often only support part of the functionality of a warehouse (middleware for information transport, database)Implementation of a valuable warehouse is a major project with major risk factorsData Warehouses need constant maintenance to stay usableMIS: Pichai Takkabutr EAU 2005
10 Summary: Data Warehouse A data warehouse isa central repository forall or significant parts of the data that an enterprise's various business systems collect.It enables the management toaccess the available data in an efficient way,learn about trends make informed decisions.MIS: Pichai Takkabutr EAU 2005
11 SummaryInformation technology constantly changes the relationship between customers and a company.Convenience and better service for customers are key factors for success.Intelligent gathering, integration and usage of information about the customer is vital in order to survive competition.Data Warehouses and Data Mining provide the components for mass customization.MIS: Pichai Takkabutr EAU 2005
15 ADTs typically seen in textbooks and implemented in programming languages (or their libraries) include:StringListStackQueuePriority queueComplex numberAssociative arrayMultimapMIS: Pichai Takkabutr EAU 2005
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