Database 11g OLAP Option Overview - Long.ppt

8/19/2019 Database 11g OLAP Option Overview - Long.ppt

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Enhancing the Performance and Analytic Content

of the Data Warehouse Using Oracle OLAP Otion

!ud Endress" Director of Product #anagement $ OLAP

%etem&er '" ())*


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The following is intended to outline our general

product direction. It is intended for information

purposes only, and may not be incorporated into any

contract. It is not a commitment to deliver any

material, code, or functionality, and should not berelied upon in making purchasing decisions.

The development, release, and timing of any

features or functionality described for Oracle’s

products remains at the sole discretion of Oracle.


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OLAP in the Data Warehouse

!se Oracle O"#$ to enhance your data warehouse

% &implified summary management

% '&peed of thought’ (uery performance

% #dvanced time series analysis and analytic content

% )entrali*ed management of data, meta data, calculations and

security


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+

very data warehouse can benefit from Oracle O"#$

% very business intelligence tool accesses summary data

% very business user wants e-cellent (uery performance in both

static and e-ploratory I applications

% very business user will benefit from rich analytic content



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mbedded Oracle O"#$ is preferred by IT to e-ternalsolutions

% !se the database you already own

% !se the I tools they already own

% !se Oracle skills you already have

% mbedded Oracle O"#$ is secure and enterprise ready



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% #sk yourself the following (uestions

% o you use business intelligence tools2

% Oracle I , usiness Obects, )ognos,

4icro&trategy, etc.2

% 5ould business users benefit from% &ignificantly improved (uery performance2

% 6ich analytic content2

% 5ould IT benefit from

% 7ast, efficient updates of data sets2% 7ewer servers to manage2

% )onsolidating stand alone O"#$ servers into the

database2


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% # summary management solution for &9"

based business intelligence applications

% #n alternative to table:based materiali*ed

views, offering improved (uery performance

and fast, incremental update

% # full featured multidimensional O"#$server

% -cellent (uery performance for ad:hoc ;

unpredictable (uery

% nhances the analytic content of usiness

intelligence application% 7ast, incremental updates of data sets

Oracle OLAP Otion


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OLAP Otion

% #n embedded O"#$ solution

% 6uns within Oracle atabase

nterprise dition

% ata are stored in Oracle data

files% 4eta data in the Oracle ata

ictionary

% 7ully compatible with 6#) ; =rid

computing


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OLAP Otion

% # secure solution

% Oracle users are O"#$ users

% &9" =6#?T ; 6@OA on

O"#$ cubes and dimensions

% )ompatible with @irtual $rivate

atabase

% 7ine =rained )ube &ecurity

Oracle Authentication

%+L Cu&e Access Control

,irtual Pri-ate Data&ase

.ine /rained Cu&e %ecurity


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OLAP Otion

% #n open solution

% Oracle cubes and dimensions

are (ueried using

% &9"

% $" ; &9"

% Oracle O"#$ #$I

% Transparent access as cube:

organi*ed materiali*ed view

% &9"

SELECT

time, product, customer, sales_ytd FROM sales_cube


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1B

OLAP Otion

% # content rich solution

% 6ich aggregations

% Time series

% Indices and market shares

% 6ankings% 7orecasting

% #llocations

% &tatistics

% )alculations are embedded

in the database% )entrally managed for consistency

% #ccessible by any application


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OLAP Otion

Predicta&le 0uery en-ironment% Predefined reorts

% Predefined calculations

% Less e1loration of data

E1loratory 0uery en-ironment

% Users define reorts

% Users access any data

% Users define calculations

% #ore users amlify this effect

% O"#$ cubes are optimi*ed for ad:hoc, e-ploratoryusage patterns

%tatic 2eorting%elf %er-ice 2eorting

and Analysis


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OLAP Otion

% O"#$ cubes offer e-cellent

performance for unpredictable

(uery patterns

% #ppropriate for both

static and e-ploratory

reporting

% #dvantages increase

as reporting becomes

more e-ploratory


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OLAP Otion

% O"#$ )ubes offer fast,

incremental updates of data

sets

% 4anage all summaries in a

single database obect

% 7ast, incremental

materiali*ed view refresh

% Incremental ; fast

aggregation

% )ost:based

aggregation


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OLAP Otion

% O"#$ )ubes offer fast,

incremental updates of data

sets

% 4anage all summaries in a

single database obect

% 7ast, incremental

materiali*ed view refresh

% Incremental ; fast

aggregation

% )ost:based

aggregation


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OLAP Otion

% One cube can be used as

% # summary management solution to &9":based business

intelligence applications as cube:organi*ed materiali*ed

views

% # analytically rich data source to &9":based businessintelligence applications as &9" cube:views

% # full:featured multidimensional cube, servicing dimensionally

oriented business intelligence applications


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%+L +uery of OLAP Cu&es

!I Alication

CubeMaterialized

Views

SQL

AutomaticQuery

Rewrite

!I Alication

Cube Views

SQL

Oracle Cube


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One Cu&e" Dimensional or %+L 3ools%ingle -ersion of the truth

%+L +uery

OLAP +uery

#etadata

Data

!usiness 2ules

E1tract" Load 4 3ransform 5EL36

Centrally managed data" meta data and &usiness rules


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Cu&e Organi7ed #ateriali7ed ,ie8s

% Transparently enhance the (uery performance of I

applications

% ata is managed in an Oracle cube

% 7ast (uery

% 7ast refresh

% 4anage a single cube instead of 1>’s, 1>>’s or 1,>>>’s of

table:based materiali*ed views

% #pplications (uery base ; detail relational tables

%Oracle automatically rewrites &9" (ueries to O"#$ cubes

% #ccess to summary data in the cube is fully transparent


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%ummary Data9 Collections of #ateriali7ed ,ie8s

#ateriali7ed ,ie8s3yical #, Architecture 3oday

B1

.act 3a&le9 %ales &y Day" Item" Customer and Channel

!I Alication

SELECT

SUM(sales)GROU !"#uarter,

bra$d,re%io$,c&a$$el

Automatic+uery

2e8rite

% !sers e-pect e-cellent

(uery response for all

summary (ueries

% 4ight re(uire 1>’s, 1>>’s or

even 1,>>>’s of materiali*ed

views

% ifficult to manage

% "onger build and update times


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Cu&e$Organi7ed #ateriali7ed ,ie8sAutomatic +uery 2e8rite

BB


!I Alication

SELECT



Automatic

+uery 2e8rite

% # single cube manages

summaries for all

groupings in the model

% # cube can be represented

as a cube:organi*ed

materiali*ed view

% Oracle automatically

rewrites summary (ueries

to the cube

% # singe cube can replace

1>’s, 1>>’s or 1,>>>’s of

materiali*ed views


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3yical 0uery issued &yOracle !usiness

Intelligence EnterriseEdition:

+uery is automaticallyre8ritten &y Oracle toaccess summary data in thecu&e$organi7edmateriali7ed -ie8:


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Cu&e$Organi7ed #ateriali7ed ,ie8s.ast" Incremental #, 2efresh

B


!I Alication

SELECT



% # single cube is refreshed

using 4@ refresh system

% 7ast, incremental

update from 4@ logs.

% 7ast, incrementalaggregation within the

cube.

% fficient management

of sparse data sets.

% 6eplaces 1>’s, 1>>’s

or even 1,>>>’s oftable:based 4@s

#, 2efresh


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B+

Cu&e Organi7ed #ateriali7ed ,ie8s

% #n e-cellent summary management solution for

business intelligence tools such as I ,

4icro&trategy, )ognos and usiness Obects

% )ube organi*ed materiali*ed views are similar to

materiali*ed views on pre:built tables% )ube organi*ed materiali*ed views are meta data only C they

do not store dataD data comes from the cube

% # common implementation will be to leave detail data

in tables and create the cube at aggregate levels% .g. tables with day, customer and cube with month, *ip code


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Cu&e Organi7ed #ateriali7ed ,ie8sCase %tudy

% )ompares performance of table:based materiali*ed

views with cube:organi*ed materiali*ed views with

goals ofE

% Improving (uery performance of &9":based I tools

% 6educing build;update times

% &ource data

% 7ast moving consumer goods company data

% 0 dimensions

% B> million fact rows

B/


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Cu&e Organi7ed #ateriali7ed ,ie8sCase %tudy

% 4easurements

% Time to load data and prepare it for (uery

% 4@sE )reate 4@s, create inde-es and compute statistics

% )ubeE "oad data and aggregate.

% 9uery performance

% 6un the same 1/< (ueries against 4@s and cube.

B8


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Cu&e Organi7ed #ateriali7ed ,ie8sCase %tudy 2esults

B<

3ime in minutes to


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OLAP Cu&es ,ie8s%+L +uery of Oracle Cu&es

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OLAP Cu&e Includes% All le-els of summari7ation

% 2ich analytical calculations

Cu&e is reresented as starschema of relational -ie8s

% Dimension and fact -ie8s

% Detail and summary fact ro8s% 2ich analytic fact columns


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3B

Emo8ering Any %+L$!ased 3ool%imle %+L +ueries Ad-anced Cu&e Content

SELECT cu.long_description customer,'pro'it_ra$_cust_s&_pare$t,'pro'it_s&are_cust_s&_pare$t,'pro'it_ra$_cust_s&_le*el,'pro'it,'%ross_mar%i$

FROM time_calendar_view t, product_primary_view p, customer_sipments_view cu, cannel_primary_view c, units_cu!e_view "

#$ERE t.level_name % &C'LE()'R_*E'R& '() t.calendar_year % &C*+-& '() p.dim_ey % &TOT'L& '() cu.parent % &TOT'L&

'() c.dim_ey % &TOT'L& '() t.dim_ey % ".T/ME '() p.dim_ey % ".product '() cu.dim_ey % ".customer '() c.dim_ey % ".cannel0

Alication E1ress on Oracle OLAP


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Oracle !usinessIntelligence EnterriseEdition 0uerying time seriescalculations directly froman Oracle cu&e using %+L:

Oracle cu&es can ma;e any!I tool smarter and faster:


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%+L issued &y Oracle !I EEagainst -ie8s of Oraclecu&e and dimensions:

e8 =oined Cu&e %can ro8source ushes oins intothe cu&e and accessessummary data andcalculations:


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Oracle OLAP Otion%ummary

% nhances the performance and analytic content of

&9":based business intelligence applications.

% 4ay be used asE

% # summary management solution with cube:organi*ed

materiali*ed views.% # full:featured multidimensional cube and calculation engine

(ueried directly with &9"

% mbedded in the Oracle database instance and

storage.% &afe, secure and manageable.% 7ully compatible with =rid )omputing;6eal #pplication

)lusters.

3/


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.or #ore Information

% Oracle.com

% httpE;;www.oracle.com;solutions;businessGintelligence;

olap.html

% Oracle Technology ?etworkE

% httpE;;www.oracle.com;technology;products;bi;olap;inde-.html

% $roduct iscussion 7orumE% httpE;;forums.oracle.com;forums;forum.spa2forumIH1/


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Database 11g OLAP Option Overview - Long.ppt

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