Bif Session13 Mdx

7/18/2019 Bif Session13 Mdx

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Business Intelligence Fundamentals

Ver 1.0

In this session, you will learn to:

Create MDX queries

Use MDX functions for analysis

Objectives


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Ver 1.0

The MDX query language is similar to Structured Query

anguage !SQ"#

It ena$les you to query multidimensional o$%ects, such as

&'( cu$es#

The following ta$le shows some of the common differences

$etween SQ and MDX#

Difference Beteen S!" and #D$

S!" !ueries #D$ !ueries

)or* with two dimensions )or* with multi+le dimensions

Use the SCT statement to definethe column layout and the )-.clause to define the row layout

Use the SCT clause to definemulti+le a/es and the )-. clause torestrict the data to a s+ecific dimensionor measure

Use the )-. clause to filter data Use the )-. clause to identify a+ortion of data from a different dimension

.eturn a su$set of two0dimensionaldata from ta$les

.eturn a su$set of multidimensional datafrom cu$es

(o+ulate a +redefinedtwo0dimensional rowset if they arecreated on one or more ta$les

(o+ulate a multidimensional dataset ifthey are created on a single cu$e

'ccess the SQ Ser1er data$ase thatcan $e connected from client

a++lications

'ccess the &'( cu$e data that can $econnected with the cu$e $rowser using

'D&MD and & D2 for &'(


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Ver 1.0

The following figure shows the difference in connecti1ity

$etween the SQ Ser1er data$ase and the &'( cu$e#

Difference Beteen S!" and #D$ &'ontd.(


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Ver 1.03

4ey Conce+t in MDX

5 'n &'( cu$e consists of dimensionsand measures#

In the figure $elow, there are two dimensions: Time and6eogra+hy# The 6eogra+hy dimension has fi1e mem$ers: *frica,

*sia, *ustralia+,acific, -uroe, and /ort *merica# There is

one measure, !uantitSold, that is the num$er of items sold in

each continent $y year#

Time

6eogra+hy 7889 7888 ;;; ;;7 ;;

'frica 7; < = >

'sia 7 ? = 8

'ustralia@(acific 738 7799 73 77= 7


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Ver 1.0?

Key Concepts in MDX (Contd.)

5 ' cellis the summariBed 1alues contained in the intersection of two

or more le1els#

5 In a two0dimensional 1iew of a cu$e, each cell can $e descri$ed in

terms of one mem$er from each dimension# or e/am+le, the

num$er of items sold in Aorth 'merica in ;; was 9,


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Ver 1.0=

Key Concepts in MDX (Contd.)5 Dimensions in a cu$e are hierarchical# alues are deri1ed $y adding

or aggregatingthe original data in the cu$e to +roduce a+resummariBed re+ort#

*frica *sia *ustralia

+,acific

-uroe /ort

*merica

2002 !1 # #


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,roductDimension

8un 2001

3ime Dimension

'lotes

4eogra

Dimension

9nited

States

Tuples5 To identify and e/tract data, MDX uses a reference system named

tu+les#Tupleslist dimensions and mem$ers to identify indi1idualcells, as well as a larger section of cells in the cu$e# 2ecause each

cell is an intersection of all the dimensions of the cu$e, tu+les

uniquely

identify

e1ery

cell in

the cu$e#

&8un 2001: 9nited States: 'lotes(


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Ver 1.09

Tuples (Contd.)5 Tu+les that encom+ass more than one cell are named slices#

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

'ell

4eogra ; -uroe

,roduct ; *ll ,roducts3ime ; *ll 3ime

4eogra ; -uroe

,roduct ; *ll ,roducts

3ime ; *ll 3ime

1st Dimension

Documents

Bif Session13 Mdx