A



Index


[SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X] [Z]

accessing
     data warehouses
         for applications
         for database administrators
         for users
     database for Reporting Services
     reports 2nd
additive measures 2nd 3rd
     transforming logic into
address information
administrators (Analysis Services), security
ADOMD.NET
aggregates (OLAP)
aggregations for VLDBs (very large databases)
     designing 2nd
algorithms for data mining 2nd 3rd
Analysis Services
     administrator security
     architecture of
     availability
     data mining features 2nd
         adding to Web applications
         algorithms for 2nd
         architecture for
         Association Rules algorithm
         creating mining structure
         Data Mining dimension
         data sources for
         deployment
         dimensional modeling for
         ETL process
         managing
         predictions
         reprocessing mining models
         security 2nd
         segmentation with clusters
         Sequence Clustering algorithm
     Database Synchronization
     development environment
     discretization feature
     managing
     missing dimension members
     partitioned cubes
         managing
     scalability
     security
     slowly changing dimensions (SCDs)
         processing
     translations
     UDM (Unified Dimension Model)
     very large database support
Analysis Services databases [See also cubes (OLAP).]
     architecture of
     backing up
     creating
     cube creation
     cube processing
     cube setup
     deployment
     dimension setup
     in scorecard applications
         KPIs (key performance indicators)
         many-to-many relationships
         parent-child dimensions
         perspectives
         security
         setup
     on-time shipments analysis
     relational tables versus
     security
     source code control
     types of data
     updating views
Analysis Services Deployment Wizard
Analysis Services queries, parameters for
application access to data warehouses
architecture
     for data mining
     of Analysis Services
     of Analysis Services databases
     of Reporting Services
Association Rules algorithm
attributes
     adding to dimension tables
     candidate attributes, listing
     data warehouses
     relationships between
     setting up dimensions
auditing data quality
     with row counts
authentication
     for Analysis Services
     Windows authentication
automated processing, VLDBs (very large databases)
availability
     Analysis Services
     SQL Server database engine



Practical Business Intelligence with SQL Server 2005
Practical Business Intelligence with SQL Server 2005
ISBN: 0321356985
EAN: 2147483647
Year: 2007
Pages: 132

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