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 1 ppt

... a data warehouse is not asvolatile as the data in an operational database is. The data in a data warehouse is primarily for query and analysis. Data GranularityIn an operational system, data ... Time-Variant Data 22 1 Nonvolatile Data 23 1 Data Granularity 23 1 Data Warehouses and Data Marts 24 1 How are They Different? 25 11 Top-Down Versus Bottom-Up Approach 26 1 A Practical Approach 27 1 ... 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...

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...

data warehousing fundamentals a comprehensive guide for it professionals phần 5 pptx

... Able to separate and store logical and physical databasemodels.HOW TO PROVIDE METADATA197METADATA REPOSITORYInformation NavigatorTechnical MetadataBusiness MetadataSource systems data ... external data sources, staging area file layouts, target warehouse data models, source-staging area mappings, staging area-warehouse mappings, data extraction rules, data transformation rules, data ... source operational systems, data extraction tools, data transformation tools, the data dictionary definitions, and other sources all contribute tothe data warehouse metadata. Metadata management,...

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 ... WAREHOUSING Data quality assuranceLoad image creationț Warehouse Storage Data martsMetadataț Information Access/DeliveryReport writersQuery processorsOLAPAlert systemsDSS applications Data miningDATA...

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Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 5 docx

... streams Data Storageț Data models for centralized data warehouse and dependent data martsț Subject area groupings of tablesț Data models for conformed data martsț Physical files ț Table and ... source operational systems, data extraction tools, data transformation tools, the data dictionary definitions, and other sources all contribute tothe data warehouse metadata. Metadata management, ... 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....

Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 6 potx

... Data 123 AAAAA 23 4 BBBBB345 CCCCC DATA STAGINGKey Data 123 AAAAA 23 4 BBBBB345 CCCCC DATA STAGINGKey Data 123 AAAAA 23 4 BBBBB345 CCCCC DATA STAGINGKey Data 123 AAAAA 23 4 BBBBB345 CCCCC DATA STAGINGBEFORAFTERKey ... 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? 29 3 DATA INTEGRITY DATA QUALITYSpecific ... 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...

Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 8 potx

... low-level array to store base data ț A two-dimensional array of data for dimension-1 and dimension -2 ț A 2- dimensional array of data for dimension -2 and dimension-3ț A high-level summary array by ... 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...

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 ... free H. data addresses in leaf nodes 9. bitmapped index I. store on separate devices10. data array J. suspend for loading 2. Prepare an outline for a standards manual for your data warehouse. ... 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...

Data Warehousing Fundamentals A Comprehensive Guide for IT Professionals phần 10 pot

... supporting, 25 1 25 3STAR schemaadvantages, 22 0 22 3example, 21 0 21 1formation of, 20 8keys, 21 8 22 0navigation, optimized with, 22 1 22 2query processing, most suitable for, 22 2 22 3Steering committee, data ... 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 ... keys, in STAR schema, 21 9Syndicated data, 52 Tablesaggregate, 23 9 24 1dimension, 20 6 20 8, 21 2 21 4, 22 6 23 1fact, 20 5 20 6, 21 4 21 6, 25 0 25 1ț Establish a definitive method for comparing and scoring...

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