[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]

M:M. [See many-to-many relationships.]
maintenance plans
     for data warehouses
Management Studio [See SQL Server Management Studio.]
     Analysis Services
     data mining
     database engine
     Reporting Services
many-to-many relationships
mapping partitions to filegroups
Matrix reports
MDX (Multidimensional Expressions) statements 2nd
measure groups
measures (data warehouses)
     as additive 2nd
     as semi-additive 2nd
     calculated measures
     candidate measures, listing
     display formats
     fact tables without
    granularity [See granularity.]
     grouping into fact tables
     identifying for data warehouse dimensional model
measuring success of BI projects
     cube partitions
     data, data quality issues
message queues for importing data into data warehouse
Microsoft Association algorithm
Microsoft Clustering algorithm 2nd
Microsoft Office 2007
Microsoft Office Business Scorecard Manager
Microsoft Office FrontPage
Microsoft Operations Manager (MOM)
mining structure, creating
missing dimension members
     data quality issues
MOLAP (Multidimensional OLAP)
     real-time business intelligence and
     ROLAP versus
MOM (Microsoft Operations Manager)
multidimensional databases, problems with real-time business intelligence
     proactive caching as solution
Multidimensional Expressions (MDX) statements 2nd
Multidimensional OLAP (MOLAP)
     real-time business intelligence and
     ROLAP versus
multiple file loading
multiple languages for reports
multiple source tables, joining

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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