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281:. A dimension is a primary organizer of measure and attribute information in a cube. MDX does not know of, nor does it assume any, dependencies between dimensions - they are assumed to be mutually independent. A dimension will contain some members (see below) organized in some hierarchy or hierarchies containing levels. It can be specified by its unique name, e.g.
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If you create two axes, one must be the column axis and one must be the row axis, although it doesn't matter in which order they appear within the query. If you create a query that has only one axis, it must be the column axis. The square brackets around the particular object identifier are optional
203:
The XML for
Analysis specification referred back to the OLE DB for OLAP specification for details on the MDX Query Language. In Analysis Services 2005, Microsoft added some MDX Query Language extensions like subselects. Products like Microsoft Excel 2007 started to use these new MDX Query Language
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in the data warehouse sense. They can be retrieved by name in a query through an axis PROPERTIES clause of a query. The scalar data value of a member property for some member can be accessed in an expression through MDX, either by naming the property (for example,
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function to specify an array that is not processed by MDX but passed to a user-defined function in an ActiveX library. Objects of other data types are represented as scalar strings indicating the object names, such as measure group name in
Microsoft's
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The following example, adapted from the SQL Server 2000 Books Online, shows a basic MDX query that uses the SELECT statement. This query returns a result set that contains the 2002 and 2003 store sales amounts for stores in the state of
California.
157:. While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions. MDX has been embraced by a wide majority of
383:. Set is an ordered collection of tuples with the same dimensionality, or hierarchality in the case of Microsoft's implementation. It can be specified enumerating the tuples, e.g.
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OLEDB for OLAP MDX specification does not distinguish between dimension and hierarchy data types. Some implementations, such as
Microsoft Analysis Services, treat them differently.
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as long as the object identifier is not one of the reserved words and does not otherwise contain any characters other than letters, numbers or underscores.
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The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in
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The SELECT clause sets the query axes as the Store Sales member of the
Measures dimension, and the 2002 and 2003 members of the Date dimension.
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While it was not an open standard, but rather a
Microsoft-owned specification, it was adopted by a wide range of OLAP vendors.
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etc. Note that all members are specific to a hierarchy. If the self-same product is a member of two different hierarchies (
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335:. Member is a member in a dimension hierarchy. It can be specified by its unique name, e.g.
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The WHERE clause defines the "slicer axis" as the
California member of the Store dimension.
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George
Spofford, Sivakumar Harinath, Chris Webb, Dylan Hai Huang, Francesco Civardi:
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MDX-Solutions: With
Microsoft SQL Server Analysis Services 2005 and Hyperion Essbase
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145:. It is also a calculation language, with syntax similar to spreadsheet formulae.
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612:"Manipulate and Query OLAP Data Using ADOMD and Multidimensional Expressions"
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In this example, the query defines the following result set information
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in a dimension hierarchy. It can be specified by its unique name, e.g.
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extensions. Some refer to this newer variant of MDX as MDX 2005.
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The FROM clause indicates that the data source is the Sales cube.
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Note: You can specify up to 128 query axes in an MDX query.
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Other data types. Member properties are equivalent to
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668:MDX Reporting and Analytics with SAP NetWeaver BW
432:function or KPI name in for example Microsoft's
307:. Hierarchies are contained within dimensions. (
325:or it can be returned by an MDX function, e.g.
303:or it can be returned by an MDX function, e.g.
299:. It can be specified by its unique name, e.g.
284:or it can be returned by an MDX function, e.g.
197:specification was issued by Microsoft in 1999.
387:or returned by MDX function or operator, e.g.
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106:Learn how and when to remove this message
417:.CurrentMember.Properties("Sales Price")
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373:or returned by an MDX function, e.g.
343:or returned by an MDX function, e.g.
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670:. SAP Press, 2008, 978-1-59229-249-3
44:adding citations to reliable sources
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181:. It was invented by the group of
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20:
31:needs additional citations for
1091:Business intelligence software
970:Extract, load, transform (ELT)
965:Extract, transform, load (ETL)
55:"MultiDimensional eXpressions"
1:
1039:Decision support system (DSS)
141:, it is a query language for
1417:Online analytical processing
1065:Data Mining Extensions (DMX)
652:, Mark Whitehorn, Rob Zare:
193:. The latest version of the
131:online analytical processing
119:Multidimensional Expressions
826:Ensemble modeling patterns
796:Single version of the truth
191:Microsoft Analysis Services
177:specification in 1997 from
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1180:Comparison of OLAP servers
339:, by qualified name, e.g.
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263:(number or string) etc.
1007:Using a data warehouse
862:Operational data store
232:There are six primary
1024:Business intelligence
243:. Scalar is either a
840:Focal point modeling
812:Column-oriented DBMS
761:Dimensional modeling
430:MeasureGroupMeasures
185:engineers including
40:improve this article
1145:Information factory
918:Early-arriving fact
835:Data vault modeling
786:Reverse star schema
161:and has become the
1096:Reporting software
385:{(., ..), (., ..)}
165:for OLAP systems.
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273:. Dimension is a
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445:Example query
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51:Find sources:
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35:
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29:This article
27:
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18:
17:
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1164:Dan Linstedt
1069:
667:
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616:. Retrieved
610:Carl Nolan.
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214:XMLA Council
212:In 2001 the
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159:OLAP vendors
152:
137:. Much like
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118:
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62:
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38:Please help
33:verification
30:
1368:Proprietary
1101:Spreadsheet
1034:Data mining
776:Star schema
614:. Microsoft
401:Descendants
353:.FirstChild
345:.PrevMember
1411:Categories
1389:Superseded
1140:Bill Inmon
944:Degenerate
913:Fact table
618:2008-03-05
594:References
440:functions.
425:SetToArray
408:attributes
305:.Hierarchy
286:.Dimension
259:(string),
257:UniqueName
255:(number),
234:data types
183:SQL Server
155:OLAP cubes
149:Background
143:OLAP cubes
66:newspapers
1058:Languages
1044:OLAP cube
1029:Dashboard
980:Transform
932:Dimension
887:Data mart
822:Data mesh
791:Aggregate
756:Dimension
685:Microsoft
389:Crossjoin
293:hierarchy
290:dimension
275:dimension
271:Hierarchy
267:Dimension
253:Aggregate
179:Microsoft
96:July 2016
1173:Products
1017:Concepts
882:Metadata
871:Elements
817:Data hub
805:Variants
751:Database
744:Concepts
434:KPIValue
163:standard
1396:CODASYL
1289:Gremlin
1284:GraphQL
1279:Datalog
1123:Related
975:Extract
958:Filling
923:Measure
683:, from
561:Members
552:COLUMNS
470:COLUMNS
438:KPIGoal
349:.Parent
236:in MDX
169:History
125:) is a
80:scholar
1349:XQuery
1339:SPARQL
1334:SMARTS
1264:Cypher
1133:People
660:
643:
543:SELECT
455:SELECT
393:Filter
333:Member
327:.Level
261:.Value
249:string
245:number
241:Scalar
82:
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1354:XPath
1254:ALPHA
1084:Tools
857:ROLAP
852:MOLAP
847:HOLAP
576:WHERE
573:Sales
503:WHERE
500:Sales
421:Array
397:Order
375:.Item
367:Tuple
319:level
315:Level
295:of a
277:of a
247:or a
224:tag.
208:mdXML
87:JSTOR
73:books
1380:LINQ
1329:QUEL
1304:LINQ
1299:LDAP
1294:ISBL
985:Load
906:Fact
771:OLAP
766:Fact
687:Docs
658:ISBN
641:ISBN
570:FROM
567:ROWS
497:FROM
494:ROWS
403:etc.
359:and
341:....
297:cube
279:cube
129:for
59:news
1375:YQL
1359:YQL
1344:SQL
1324:OCL
1319:OQL
1314:MDX
1309:MQL
1274:DMX
1269:DAX
1259:CQL
1249:.QL
436:or
381:Set
337:...
139:SQL
123:MDX
42:by
1413::
656:.
602:^
564:ON
549:ON
491:ON
467:ON
399:,
395:,
391:,
351:,
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