Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 8 potx
Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 8 potx
... data security a major concern for a Web-enabled data warehouse? 8. List any four features of the data Webhouse.9. Name any two approaches for an OLAP system to function in a Web-enabled data warehouse.10. ... 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...
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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 ... available for the following functions:ț Data Extraction and TransformationMiddleware Data extraction Data transformation1 18 REQUIREMENTS AS THE DRIVING FORCE FOR DATA WAREHOUSING OPERATIONALEXTRACTION...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 6 potx
... Data 123 AAAAA234 BBBBB345 CCCCC DATA STAGINGKey Data 123 AAAAA234 BBBBB345 CCCCC DATA STAGINGKey Data 123 AAAAA234 BBBBB345 CCCCC DATA STAGINGKey Data 123 AAAAA234 BBBBB345 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 1 ppt
... 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 operational database is. The data in a data ... 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 ... systemperformance for queries. Figure 2-4 shows examples of data granularity in a typical data warehouse. DATA WAREHOUSES AND DATA MARTSIf you have been following the literature on data warehouses for...
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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 2 ppt
... QUERYRESULTSRESULTSFigure 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 ... 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 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, ... above list of criteria as a guide while evaluating repositorytools for your data warehouse.Metadata Integration and Standards For a free interchange of metadata within the data warehouse between ... data warehouse metadata:ț The standard model provides metadata concepts for database schema management,design, and reuse in a data warehouse environment. It includes both logical andphysical database concepts.ț...
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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 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 ... storage space must be made available initially and on an ongoing basisas the data warehouse grows.Here are a few tips on estimating storage sizes: For each database table, determineț Initial...
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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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data warehousing fundamentals a comprehensive guide for it professionals phần 4 ppsx
... summary list of processes in which metadata is significant for IT: ț Data extraction from sourcesț Data transformationț Data scrubbingț Data aggregation and summarizationț Data stagingț Data ... the classification of metadata types by the functional areas in the data warehouse:1. Data acquisition2. Data storage3. Information delivery Data AcquisitionIn this area, the data warehouse ... withthe data extraction and ending with information delivery, metadata is crucial for IT. As thedevelopment process moves through data extraction, data transformation, data integration,data...
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