obiee on olap demo

8/8/2019 Obiee on Olap Demo

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Demonstration ofOracle BI EE Running onOracle OLAP

Dan Vlamis

[email protected]

Vlamis Software Solutions, Inc.

816-781-2880

http://www.vlamis.com

Copyright 2007, Vlamis Software Solutions, Inc.


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Demonstration Provided by:Demonstration Provided by:Vlamis Software Solutions, Inc.Vlamis Software Solutions, Inc.

Founded in 1992 in Kansas City, Missouri

Oracle Partner and reseller since 1995

Specializes in ORACLE-based:

Data Warehousing Business Intelligence

Data Transformation (ETL)

Web development and portals

Delivers

Design and integrate BI and DW solutions

Training and mentoring

Expert presenter at major Oracle conferences


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Demo Has ParallelDemo Has ParallelMOLAP and ROLAP SourcesMOLAP and ROLAP Sources

Data Flows


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Demo of BI EE on Oracle OLAPDemo of BI EE on Oracle OLAP


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ROLAP vs. MOLAPROLAP vs. MOLAP

What is ROLAP? (Relational)

What is MOLAP? (Multidimensional)

It's all in how the data is stored

Relational Multidimensional


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Classic ROLAP ApproachClassic ROLAP Approach

Define appropriatesummaries based on query

patterns

Each summary is typicallydefined at a particular grain

Month, Class, Ship_to

Qtr, Family, Market

Year, Family, Market

etc.

SALES_DETAIL

day_iditem_idship_to_idUnitsSales

SALES_MCS

month_idclass_idShip_to_idUnitsSales


SALES_MIM

month_iditem_idmarket_idUnitsSales

Month, Item, Market

SALES_YCI

year_id

class_iditem_idUnitsSales

Year, Class, Item

SALES_YFI

year_id

family_iditem_idUnitsSales

Year, Family, Item

SALES_MCI

month_idclass_iditem_idUnitsSales

Month, Class, Item

SALES_YFM

year_idfamily_idmarket_idUnitsSales


SALES_QFM

qtr_idfamily_idmarket_idUnitsSales

Qtr,Family, Market

SALES_XXX

XXX_idXXX_id

XXX_idUnitsSales

Time Lvl, ProdLvl, Cust Lvl

SALES_XXX

XXX_idXXX_idXXX_idUnitsSales

SALES_XXX


SALES_XXX



7/24Copyright 2007, Vlamis Software Solutions, Inc.

Summary StrategiesSummary StrategiesClassic ROLAP approachClassic ROLAP approach

SALES_DETAIL

day_iditem_idship_to_idUniitsSales

SALES_MCS

month_idclass_idShip_to_idUnitsSales


SALES_MIM

month_iditem_idmarket_idUnitsSales

Month, Item, Market

SALES_YCI

year_id

class_iditem_idUnitsSales

Year, Class, Item

SALES_YFI

year_id

family_iditem_idUnitsSales

Year, Family, Item

SALES_MCI

month_idclass_iditem_idUnitsSales

Month, Class, Item

SALES_YFM

year_idfamily_idmarket_idUnitsSales


SALES_QFM

qtr_idfamily_idmarket_idUnitsSales

Qtr,Family, Market

SALES_XXX

XXX_idXXX_id

XXX_idexpense_amountpotential_fraud_cost

Time Lvl, ProdLvl, Cust Lvl

SALES_XXX

XXX_idXXX_idXXX_idexpense_amountpotential_fraud_cost

SALES_XXX

XXX_idXXX_idXXX_idexpense_amountpotential_fraud_cost

SALES_XXX


SALES_DETAIL

day_iditem_idship_to_id

UnitsSalesProfitCostSales_Pr_YrToDateSalesSales_Pr_YrSales_Pct_Chg_Pr_Yr

Sales_Total_ProdMarginMargin_Pr_Yr

Most OLAP calculations do notaggregate easily

Percentages

Ratios

Moving Averages

Etc.

Aggregation rules may be complex Difficult to handle case where user

queries a grain that is not supportedby a view

Summary view required

for each grain that will bequeried

Is thismanageable?



MOLAP Approach:MOLAP Approach:Single embedded total view for aggregationsSingle embedded total view for aggregations

Single view contains data forallsummary levels

Summary level for a rowdetermined by dimension levelcolumns

Simple summarymanagement for ad hocenvironments

SALES_CUBEVIEW

time_idtime_levelproduct_idproduct_level

customer_idcustomer_levelUnitsSalesProfitCostSales_Pr_YrToDateSalesSales_Pr_YrSales_Pct_Chg_Pr_Yr

Sales_Total_ProdMarginMargin_Pr_Yr



Base

Data

Base

DataCalced

Facts

Materialized Views

(for each level)

To help

performance

Source Star

Schema BI EE Report

BI EE on ROLAP



BI EE on MOLAPBI EE on MOLAP

Base

Data

Original

Data

Aggregate

Data

Calced

Facts

(e.g.Profit)

M

e

t

a

da

t

a

Calced

Facts

Base

Facts

Analytic

Workspace Cube

Source Star

Schema Cube View

BI EE Report



Oracle Performance Case StudyOracle Performance Case StudyOracle Applications: Finance DBIOracle Applications: Finance DBI

480

90

100

200

300

400

500

600

Materialized Views (partially

aggregated*)

OLAP (fully aggregated**)

Minutes

6 Million

Input Rows

* MV aggregated 1 dimension and 1 measure

** OLAP aggregated 7 dimensions and 11 measures



Oracle Performance Case StudyOracle Performance Case StudyAd Hoc Queries Across Summary LevelsAd Hoc Queries Across Summary Levels

469

20

0

100

200

300

400

500

Without OLAP With OLAP

Minute

3450 Queries against

250 million rows



And Now, Back to Our DemoAnd Now, Back to Our Demo



Reallocate Unit SalesReallocate Unit Sales

Pro

duc

t

Custo

mer

Time

Envoy Executive + Envoy Ambassador

Envoy Executivex

Envoy Executive + Envoy Ambassador

Envoy Ambassadorx

ReallocatedUnits

Reallocated

Units

Pro

duc

tC

usto

mer

Time

Unit_Price

x

Unit_Cost

Pro

duc

tTime

Pro

duc

tTime

x

ReallocatedSales

Reallocated

Unit Cost

Envoy Ambassador

Envoy Standard

Envoy Executive

Envoy Ambassador

Envoy Standard

Envoy Executive

Units



Further InformationFurther Information

Oracle BI Sales http://www.oracle.com/bi

Oracle BI Technical http://www.oracle.com/technology/tech/bi/index.html

Oracle BI EE on top of Oracle OLAP Collaborate 208: Using Oracle BI EE with Oracle OLAP Cubes

on www.vlamis.com/papers.html

http://www.oracle.com/technology/obe/obe_bi/bi_ee_1013/olap/inde

VMWare image with Demo environment www.bic2g.com

Oracle OLAP and AWM Sales http://www.oracle.com/solutions/business_intelligence/olap.html

Oracle OLAP Technical http://www.oracle.com/technology/products/bi/olap/index.html
http://www.oracle.com/bihttp://www.oracle.com/technology/tech/bi/index.htmlhttp://www.vlamis.com/presentationshttp://www.oracle.com/technology/obe/obe_bi/bi_ee_1013/olap/index.htmlhttp://www.bic2g.com/http://www.oracle.com/solutions/business_intelligence/olap.htmlhttp://www.oracle.com/technology/products/bi/olap/index.htmlhttp://www.oracle.com/technology/products/bi/olap/index.htmlhttp://www.oracle.com/technology/products/bi/olap/index.htmlhttp://www.oracle.com/solutions/business_intelligence/olap.htmlhttp://www.bic2g.com/http://www.oracle.com/technology/obe/obe_bi/bi_ee_1013/olap/index.htmlhttp://www.vlamis.com/presentationshttp://www.oracle.com/technology/tech/bi/index.htmlhttp://www.oracle.com/bihttp://www.oracle.com/bihttp://www.oracle.com/bi



Additional SlidesAdditional Slides



Why a Separate OLAP Tool?Why a Separate OLAP Tool?

Empowers end-users to do own analysis

Frees up IS backlog of report requests Ease of use

Drill-down

No knowledge of SQL or tables required

Exception Analysis

Variance Analysis



What Does Oracle OLAP Add to aWhat Does Oracle OLAP Add to aDW?DW?

Multidimensional user view of data

Users create own reports

Users create own measures Easy drill-down, rotate

Iterative discovery process (not just reports)

Ad-hoc analysis

Easy selection of data with business terms

OLAP DML with what-if, forecasting

Platform for extensions



Analytic Workspaces Are Stored inAnalytic Workspaces Are Stored inTablespaces in OLAPTablespaces in OLAP

Star Tablespace AW TS

Oracle DB



What is an Analytic Workspace?What is an Analytic Workspace?



Managing Analytic WorkspacesManaging Analytic Workspaces



OLAP AW Stores Data in CubesOLAP AW Stores Data in Cubes

Regional Mgr. View

Financial Mgr. View Ad Hoc View

PROD

Product Mgr. View

Fast Flexible Access to Summarized Data

PR

ODUCT

MARKET

TIME

SALESSALES


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16 17 18 19 20 21 22 23

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8 9 10 11 12 13 14 15

0 1 2 3 4 5 6 7

Formula for calculating cell offset:

month + product * (# of months) + city*(# of months * # of products)

2 + 1 * ( 3 ) + 1 *( 3 * 3 ) =

14

Offset 14 * 8 bytes each = 112.

Fseek to byte 112 to find data.

See http://www.vlamis.com for

"How Does Express Really Work Anyway" for details.

6 7 8

0 1 2

3 4 5

8

5

2

14

11

17

26

23

20

0 1 2

9 10 11

18 19 20

0 1 2

0

1

2

P

R

O

D

U

C

T

M O N T H

0

1

2

C

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Finding data is simple multiplicationFinding data is simple multiplicationand additionand addition


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DB

EULDiscoverer

Admin

OracleWarehouse

Builder

Design Repository

Relational

Tools

MD

Tools

JOLAPISQL

Creates

ImportDeploy

Discoverer

Desktop

App Server

Infrastructure Tier

Mid

Tier

Discoverer

ServerPortal

OID

(LDAP)

Excel

SS Add-In

Discoverer

Plus

Browser

w/ AppletHTTP Server

Discoverer

Viewer

Browser

Portal

(Dashboard)

Browser

Client

DDL

DML

Sources

Reports

Server

Servlet

AnalyticWorkspace

Manager

iDS= Included in

Map

Oracle BI SEArchitecture

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