SQL Server 2008
- Specifies the column containing the exclusion terms. The column must be in the table specified in the property OutTermTable. ...
- Specifies the column that contains the reference terms. The column must be in the table specified in the property RefTermTable. ...
- Specifies the condition under which the action will be available. If not specified, then the action is always available for ...
- Specifies the criteria by which members of the highest level (ignoring the (All) level, if any) are identified. This property ...
- Specifies the criteria used to match table and column names, and thereby heuristically determine the relationships between ...
- Specifies the current storage mode of the partition. This reflects the current state of the partition if the ProactiveCaching ...
- Specifies the data size used by Analysis Services. The data size specified for this property can differ from the data size ...
- Specifies the data type of the measure. For count and distinct count, this can be different from the data type defined on ...
- Specifies the data type used by Analysis Services. The data type specified for this property can differ from the data type ...
- Specifies the date that the object was last modified. This date does not reflect modifications to any major object contained ...
- Specifies the default language for the cube The names defined for the cube and its contained objects will be used as the ...
- Specifies the default language for the dimension. The names defined for the dimension and its subordinate objects are used ...
- Specifies the default language for the mining model. The names defined for the mining model and its subordinate objects are ...
- Specifies the default language for the mining structure. The names defined for the mining structure and its subordinate objects ...
- Specifies the default storage mode for the cube. This provides the default for new measure groups and partitions created ...
- Specifies the definition of how levels in a parent-child hierarchy are named (for example "CEO ; VP "). If not specified, ...
- Specifies the details of the binding to a column that contains the number of levels between a member and its parent. Only ...
- Specifies the details of the binding to a column that provides unary operators to control how attribute members are aggregated ...
- Specifies the distance between the end of the gauge and the end of the scale, as a percentage of the size of the gauge (height ...
- Specifies the distance between the start of the gauge and the start of the scale, as a percentage of the size of the gauge ...
- Specifies the distance from the tip of the pointer to the scale, measured in percentage of the size of the gauge (height ...
- Specifies the estimated number of rows in a partition using the aggregation design. This value was used by the Aggregation ...
- Specifies the estimated number of rows in the fact tables. This is the estimated rows per partition, and provides the default ...
- Specifies the estimated number of rows in the fact tables. This is the estimated rows per partition, and provides the default ...
- Specifies the exact number of distinct values in a column that the aggregation counts distinctly. If a CountDistinctScale ...
- Specifies the exact number of group by keys that the aggregation produces. If a KeyScale value is specified, the value in ...
- Specifies the existence of an unknown member, and whether that member is visible or hidden. Fact data not associated with ...
- Specifies the expression to use to group the data for dynamic Tablix members. Group expressions cannot be used if any ancestor ...
- Specifies the file used to collect rows that have formatting errors. These rows are copied into this error file "as is." ...
- Specifies the forecasting algorithm to use. Select MIXED to create models for both ARTXP and ARIMA time series algorithms ...
- Specifies the forecasting algorithm to use. Select MIXED to create models for both ARTXP and ARIMA time series algorithms ...
- Specifies the hint that causes similar rows that contain differing leading or trailing numeric values be less likely to be ...
- Specifies the identifier for any other dimension on which the current dimension depends. If set, this property indicates ...
- Specifies the identifier for the measure group to which the key performance indicator (KPI) is most strongly associated (for ...
- Specifies the identifier for the parent of the key performance indicator (KPI), allowing KPIs to be organized in a hierarchical ...
- Specifies the installation mode for the report server. Valid values include Default, DefaultSharePoint, and FilesOnly. The ...
- Specifies the list of lineage identifiers that map to the parameters that the SQL statement in the SQLCommand property uses. ...
- Specifies the lower constraint for any time series prediction. Predicted values will never be smaller than this constraint. ...
- Specifies the maximum amount of memory (MB) that this instance of the Fuzzy Lookup transformation can use. If 0 is given, ...
- Specifies the maximum amount of memory (MB) that transform should use. A value of 0 will enable dynamic memory usage based ...
- Specifies the maximum amount of time following receipt of a notification before creation of a new MOLAP cache commences, ...
- Specifies the maximum amount of time that can elapse between the creation of a MOLAP cache and the creation of the next MOLAP ...
- Specifies the maximum amount of time that the data sources must be free of transactions before the server starts creation ...
- Specifies the maximum number of attribute states that the algorithm supports. If the number of states that an attribute has ...
- Specifies the maximum number of cases in which an itemset can have support. If this value is less than one, it represents ...
- Specifies the maximum number of input attributes that the algorithm can handle before invoking feature selection. Setting ...
- Specifies the maximum number of input attributes that the algorithm can handle before invoking feature selection. Setting ...
- Specifies the maximum number of items allowed in an itemset. Setting this value to 0 specifies that there is no limit to ...
- Specifies the maximum number of itemsets to produce. If no number is specified, the algorithm generates all possible itemsets. ...
- Specifies the maximum number of key errors that can occur before either processing stops, or processing continues but key ...
- Specifies the maximum number of output attributes that the algorithm can handle before invoking feature selection. Setting ...
- Specifies the maximum number of states for a non-sequence attribute that the algorithm supports. If the number of states ...
- Specifies the maximum number of states that a sequence can have. Setting this value to a number greater than 100 can result ...
- Specifies the maximum number of syntax errors and compilation errors that can occur before the data copy operation is canceled. ...
- Specifies the measure used to resolve a Multidimensional Expressions (MDX) expression if a measure is not explicitly referenced ...
- Specifies the metadata cached for the linking object, as well as the behavior upon any changes to the underlying linked object. ...
- Specifies the method used to calculate the split score. The available methods are: Entropy (1), Bayesian with K2 Prior (3), ...
- Specifies the method used to discretize (group) the members of the attribute. The number of buckets created by discretizing ...
- Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not ...
- Specifies the method used to fill the gaps in historical data. By default, irregular gaps or ragged edges in data are not ...
- Specifies the minimum dependency probability between input and output attributes. This value is used to limit the size of ...
- Specifies the minimum number of cases that a leaf node must contain. Setting this value to less than 1 specifies the minimum ...
- Specifies the minimum number of cases that must contain the itemset before generating a rule. Setting this value to less ...
- Specifies the minimum probability that a rule is true. For example, setting this value to 0.5 specifies that no rule with ...
- Specifies the minimum textual similarity required between input and fuzzy matched records on values in this particular join ...
- Specifies the name of an output column containing the file name. If no name is specified, no output column containing the ...
- Specifies the name of the fuzzy-match index table to be reused or the table name in which a newly generated fuzzy-match index ...
- Specifies the name of the Microsoft Visual Studio Tools for Applications project. Project names must be unique within a package. ...
- Specifies the name of the SQ LServer failover cluster instance. This name is the network name that is used to connect to ...
- Specifies the name of the SQL Server failover cluster instance. This name is the network name that is used to connect to ...
- Specifies the number of buckets in which to discretize (group) members of the attribute. The method used to discretize the ...
- Specifies the number of cases that are used to train the model. The algorithm either uses the number specified by SAMPLE_SIZE ...
- Specifies the number of cases that the algorithm uses on each pass if the CLUSTERING_METHOD parameter is set to one of the ...
- Specifies the number of days that long policy evaluation history should be retained. If this value is 0, the history will ...
- Specifies the number of instances of the leftmost outer group to appear to the left of the data region. This property is ...