data warehousing fundamentals a comprehensive guide for it professionals phần 5 pptx
data warehousing fundamentals a comprehensive guide for it professionals phần 5 pptx
... warehouse data models, source-staging area mappings, staging area-warehouse mappings, data extraction rules, data transformation rules, data cleansing rules, data aggregation rules, data loading and ... METADATA197METADATA REPOSITORYInformation NavigatorTechnical MetadataBusiness MetadataSource systems data models, structures of external data sources, staging area file layouts, target warehouse ... source operational systems, data extraction tools, data transformation tools, the data dictionary definitions, and other sources all contribute tothe data warehouse metadata. Metadata management,...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 5 docx
... source operational systems, data extraction tools, data transformation tools, the data dictionary definitions, and other sources all contribute tothe data warehouse metadata. Metadata management, ... navigate through the data ware-house and any data marts.From the outset, pay special attention to metadata for your data warehouse environ-ment. Prepare a metadata initiative to answer the following ... requirements.EXERCISES1. Indicate if true or false: A. The importance of metadata is the same in a data warehouse as it is in an opera-tional system.B. Metadata is needed by IT for data warehouse administration.C....
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 1 ppt
... individual transactions to change the data there. Data updates are commonplace inan operational database; not so in a data warehouse. The data in a data warehouse is not asvolatile as the data in an ... Tools 50 1 Data Fusion 50 1 Multidimensional Analysis 51 1 Agent Technology 51 1 Syndicated Data 52 1 Data Warehousing and ERP 52 1 Data Warehousing and KM 53 1 Data Warehousing and CRM 54 1 Active ... the market with numerous data warehousing products. Vendor solutions and products run the gamut of data ware-housing data modeling, data acquisition, data quality, data analysis, metadata, and...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 2 ppt
... 3-8 Integration of KM and data warehouse.Types of MetadataMetadata in a data warehouse fall into three major categories: ț Operational Metadataț Extraction and Transformation Metadata ț End-User ... metadata contain all ofthis information about the operational data sources.Extraction and Transformation Metadata. Extraction and transformation metada-ta contain data about the extraction of data ... files and addresses, the informationabout the indexes, and so on. The data dictionary contains data about the data in thedatabase. Similarly, the metadata component is the data about the data...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 3 potx
... Chapter 2:ț Source data Production data Internal data Archived data External data ț Data staging Data extraction Data transformation Data loadingț Data storageț Information deliveryț Metadataț ... internal and external data sources form the source data architectural component. Source data governs the extraction of data for preparation andstorage in the data warehouse. The data staging architectural ... metadata in a data warehouse. So, in your data warehouse architecture, themetadata component interleaves with and connects the other components. Metadata in a data warehouse is so important that...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 6 potx
... Data 123 AAAAA234 BBBBB3 45 CCCCC DATA STAGINGKey Data 123 AAAAA234 BBBBB3 45 CCCCC DATA STAGINGKey Data 123 AAAAA234 BBBBB3 45 CCCCC DATA STAGINGKey Data 123 AAAAA234 BBBBB3 45 CCCCC DATA STAGINGBEFORAFTERKey ... extracted data is raw data and it cannot be applied to the data warehouse. First, all the extracted data must be made usable in the data warehouse.Having information that is usable for strategic ... try to access the customer demo-graphics in the data warehouse. The customer data as an integrated whole lacks data qual-ity. WHY IS DATA QUALITY CRITICAL? 293 DATA INTEGRITY DATA QUALITYSpecific...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 7 ppt
... poten-tial effect of bad data. The low-priority data may be cleansed if you have any time and re- DATA QUALITY INITIATIVE309 DATA QUALITYINITIATIVES DATA CONSUMER(User Dept.) DATA EXPERT(User ... companies serious about data quality pull all these factors together and establish a data quality framework. Essentially, the framework provides a basis for launching data quality initiatives. It ... demand a warranty on data quality. In spite of what thevendor might profess about the quality of the data, for each set of external data, set upsome kind of data quality audit. If the external...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 8 potx
... organizations gather enterprise data from the source operational systems,move the data through a transformation and cleansing process, and store the data in data warehouses in a form suitable for ... Prefabricated multidimensional cubes are not created beforehand and storedin special databases. The relational data is presented as virtual multidimensional data cubes. 364OLAP IN THE DATA WAREHOUSEDesktopMDDBOLAPServer Data WarehouseDatabaseServerMOLAP Data WarehouseDatabaseServerOLAPServicesDesktopROLAPFigure ... specific informa-tion from the data warehouse. What do all of these have in common? Familiarity with theWeb and ability to access it easily. These are strong reasons for a Web-enabled data ware-house.How...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 9 pdf
... just a couple of ex-amples. Review all the initialization parameters and set each appropriately. Data ArraysWhat are data arrays? Suppose in a financial data mart you need to keep monthly balancesof ... suitable for low-selectivity data? Why?9. What is data partitioning? Give two reasons why data partitioning is helpful in a data warehousing environment.10. What is data clustering? Give an ... free H. data addresses in leaf nodes 9. bitmapped index I. store on separate devices10. data array J. suspend for loading2. Prepare an outline for a standards manual for your data warehouse....
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 10 pot
... start with a large volume of data, even a small percentage increase can result in substantial additional data. In the first place, a data warehouse may contain too much historical data. Data ... huge amounts of data that has taken years to gather and accu-mulate. The historical data may go back 10 or even up to 20 years. Before the data arrivesat the data warehouse, you know that it has ... suchmanual fall-back. How do these compare with the situation in the data warehouse? Isdowntime critical? Can the users tolerate a small loss of data? Why Back Up the Data Warehouse? A data warehouse...
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