BIWA 2007 Implementing Oracle BI EE on Top of Oracle OLAP Cubes 10g and 11g

7/30/2019 BIWA 2007 Implementing Oracle BI EE on Top of Oracle OLAP Cubes 10g and 11g

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Implementing Oracle BI EE on TopImplementing Oracle BI EE on TopImplementing Oracle BI EE on TopImplementing Oracle BI EE on Topof Oracle OLAP Cubesof Oracle OLAP Cubesof Oracle OLAP Cubesof Oracle OLAP Cubes

10g and 11g10g and 11g10g and 11g10g and 11gBIWA Webcast

Dan Vlamis

[email protected]

Vlamis Software Solutions, Inc.

816-781-2880http://www.vlamis.com

Copyright 2007, Vlamis Software Solutions, Inc.


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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

Express-based applications

Delivers Design and integrate BI and DW solutions

Training and mentoring

Expert presenter at major Oracle conferences


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Who Am I?

Dan Vlamis, President of Vlamis Software Developer for IRI (former owners of Express)

Founded Vlamis Software in 1992 Beta tester and early adopter of Oracle OLAP

Expert speaker and author

Techie on OLAP DML

Recognized expert in Express and OLAP industry


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Agenda

Brief background of BI EE and Oracle OLAP Demonstration of BI EE on Oracle OLAP

Why Oracle OLAP?

What is Oracle OLAP? Oracle OLAP storage options

Structure of Analytic Workspace

Building OLAP Cubes 11g OLAP what changes?


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Copyright 2007, Vlamis Software Solutions, Inc.Vlamis Software Solutions, Inc.2-5

Name/AddressScrubbing

ClickstreamTool

Transformation

Engine

Lineage

Protracted and complex implementation Escalating maintenance costs

Software and MetadataIntegration is key!

Query &

Analysis

MiningEngine

DatabaseDatabase

OLAPEngine

Analytic Apps

ReportingEngine

Enterprise

Reporting

Po

rtal

ETL Tool

TransformationEngine

Business Intelligence Market

Multi-Vendor, Un-integrated


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Oracle BI Suite Enterprise EditionUnified Business Intelligence InfrastructureUnified Business Intelligence InfrastructureUnified Business Intelligence InfrastructureUnified Business Intelligence Infrastructure

OracleBI Server

ProactiveDetectionand Alerts

DisconnectedAnalytics

Ad-hocAnalysis

MS OfficePlug-in

Reporting &Publishing

InteractiveDashboards

OLTP & ODSSystems

Data WarehouseData Mart

SAP, OraclePeopleSoft, Siebel,

Custom Apps

FilesExcelXML

BusinessProcess

Multidimensional Calculation and Integration EngineIntelligent Caching Services

Simplified Business Model and Abstraction Layer

Intelligent Request Generation and Optimized Data Access Services


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Demo of BI EE on Oracle OLAP


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BI EE Metadata Editor

Data Flows


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ROLAP 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 Approach

Define appropriatesummaries basedon query patterns

Each summary istypically defined ata particular grain

Month, Class,Ship_to

Qtr, Family,

Market Year, Family,

Market

etc.

SALES_DETAIL

day_id

item_idship_to_idUnitsSales

SALES_MCS

month_idclass_idShip_to_idUnitsSales

Month, Class, Ship_to

SALES_MIM

month_id

item_idmarket_idUnitsSales

Month, Item, Market

SALES_YCI

year_idclass_iditem_id

UnitsSales

Year, Class, Item

SALES_YFI

year_idfamily_iditem_id

UnitsSales

Year, Family, Item

SALES_MCI

month_id

class_iditem_idUnitsSales

Month, Class, Item

SALES_YFM

year_idfamily_idmarket_idUnitsSales

Year, Family, Market

SALES_QFM

qtr_idfamily_idmarket_idUnitsSales

Qtr,Family, Market

SALES_XXX

XXX_idXXX_idXXX_idUnits

Sales

Time Lvl, ProdLvl, Cust Lvl

SALES_XXX

XXX_id

XXX_idXXX_idUnitsSales

SALES_XXX

XXX_id


SALES_XXX

XXX_idXXX_idXXX_idUnitsSales


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Summary Strategies

Classic ROLAP approach

Most OLAP calculationsdo not aggregate easily Percentages

Ratios

Moving Averages

Etc.

Aggregation rules may becomplex

Difficult to handle casewhere user queries agrain that is notsupported by a view

Summary view requiredfor each grain that will be

queried

Is thismanageable?

SALES_DETAIL

day_id

item_idship_to_idUnitsSales

SALES_MCS

month_idclass_idShip_to_idUnitsSales

Month, Class, Ship_to

SALES_MIM

month_id

item_idmarket_idUnitsSales

Month, Item, Market

SALES_YCI

year_idclass_iditem_id

UnitsSales

Year, Class, Item

SALES_YFI

year_idfamily_iditem_id

UnitsSales

Year, Family, Item

SALES_MCI

month_id

class_iditem_idUnitsSales

Month, Class, Item

SALES_YFM

year_idfamily_idmarket_idUnitsSales

Year, Family, Market

SALES_QFM

qtr_idfamily_idmarket_idUnitsSales

Qtr,Family, Market

SALES_XXX

XXX_idXXX_idXXX_idUnits

Sales

Time Lvl, ProdLvl, Cust Lvl

SALES_XXX

XXX_id


SALES_XXX

XXX_id


SALES_XXX

XXX_idXXX_idXXX_idUnitsSales

SALES_DETAIL

day_iditem_idship_to_id

Units

SalesProfitCostSales_Pr_YrToDateSalesSales_Pr_YrSales_Pct_Chg_Pr_YrSales_Total_ProdMarginMargin_Pr_Yr

SALES_DETAIL

day_iditem_idship_to_id

UnitsSales

ProfitCostSales_Pr_YrToDateSalesSales_Pr_YrSales_Pct_Chg_Pr_YrSales_Total_ProdMargin

Margin_Pr_Yr


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MOLAP Approach:Single embedded total view for aggregations

Single view contains data

for allsummary levels Summary level for a row

determined by dimensionlevel columns

Simple summarymanagement for ad hocenvironments

SALES_CUBEVIEW

time_idtime_levelproduct_idproduct_levelcustomer_idcustomer_level

UnitsSalesProfitCostSales_Pr_YrToDateSalesSales_Pr_YrSales_Pct_Chg_Pr_YrSales_Total_Prod

MarginMargin_Pr_Yr

SALES_CUBEVIEWtime_idtime_levelproduct_idproduct_levelcustomer_idcustomer_levelUnits

SalesProfitCostSales_Pr_YrToDateSalesSales_Pr_YrSales_Pct_Chg_Pr_YrSales_Total_Prod

MarginMargin_Pr_Yr


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Base

Data

Source StarSchema

BI EE ReportMaterialized Views(for each level)

To helpperformance

Base

Data

Calced

Facts

BI EE on ROLAP


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BI EE on MOLAP

OriginalData

Aggregate

Data

CalcedFacts(e.g.Profit)

M

etadata

CalcedFacts

BaseFacts

AnalyticWorkspace Cube

Cube View

BI EE Report

BaseData

Source StarSchema


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Oracle Performance Case StudyOracle Applications: Finance DBI

480

90

100

200

300

400

500

600

Materialized Views (partially

aggregated*)

OLAP (fully aggregated**)

Minutes

6 MillionInput Rows

* MV aggregated 1 dimension and 1 measure

** OLAP aggregated 7 dimensions and 11 measures


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Oracle Performance Case StudyAd Hoc Queries Across Summary Levels

469

20

0

100

200

300

400

500

Without OLAP With OLAP

Minutes

3450 Queries against250 million rows


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And Now, Back to Our Demo


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Reallocate Unit SalesReallocate Unit Sales

ReallocatedUnits

Produc

t

Custo

mer

Time

Unit_Price

Product

Time

x

Reallocated

Sales

Unit_Cost

Product

Time

x

Reallocated

Unit Cost

ReallocatedUnits

Product

Custo

mer

Time

Envoy Executive + Envoy Ambassador

Envoy Executive

x

Envoy Executive + Envoy Ambassador

Envoy AmbassadorxEnvoy Ambassador

Envoy Standard

Envoy Executive

Units

Envoy Ambassador

Envoy Standard

Envoy Executive


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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/index.html

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

This Demo http://www.vlamis.com/demo


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Definition of OLAP

OLAP stands for On Line Analytical Processing.That has two immediate consequences: theon linepart requires the answers of queries

to be fast, the analyticalpart is a hint thatthe queries itself are complex.

i.e. Complex Questions with FAST ANSWERS!


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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


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What Does Oracle OLAP Add to aDW?

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


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OLAP Option High-level View

Advanced analytics

Integrated in RDBMS

Easy to develop

Easy to use Facilitate collaboration

Flexible deployment

Scaleable and performant True Relational Multidimensional database


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ROLAP 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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Analytic Workspaces Are Stored in

Tablespaces in OLAP

Star Tablespace AW TS

Oracle DB


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What is an Analytic Workspace?


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OLAP AW Stores Data in Cubes

Regional Mgr. View

Financial Mgr. View Ad Hoc View

PROD

Product Mgr. View

Fast Flexible Access to Summarized Data

PRODUCT

MARKET

TIME

SALESSALES


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What Are AW Cubes?

Data stored as arrays

Dimension values are internally integers

Offset calculated using simple multiplication Offset tells exactly where to look for data

Pages and segmentation complicate design

Conjoints and composites handle sparsity


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Are You Smarter Than a 5th

Grader?


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Arrays as Defined by a 5th

Grader

Courtesy Alexander Doniphan Elementary School, Liberty, Missouri


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16 17 18 19 20 21 22 23

24 25 26

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

I

T

Y

Finding data is simple multiplicationand addition


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Cubes Defined

Definition:

Cubes are collections of measures. Theyare a logical way to organize data. Allmeasures in a cube share the samedimensionality

Examples:

Sales_Cube (with Units, Dollars, Profit) Finance_Cube (with Actual, Budget, Variance)


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Building Cubes in AWM


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AWM Cube Builder Tips

Remember to save Everything to XML files

Remember this is Real-time. So changesare nearly immediate (may need to reloaddata)

Use View to see results in tool No Needfor BI Beans to validate success!

Move Measures to Folders Can save Calculated Measures to XML

Then you can Edit!


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Changing Oracle BI Product Line

Frontends Oracle BI EE (Siebel)

Oracle BI SE One (stripped down Siebel)

Oracle BI SE (Discoverer, BI Beans)

Backends Oracle relational (and Disco Administrator)

Oracle OLAP cubes

Heterogeneous for BI EE (MS, SAP BW, etc.)


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Editing Oracle BI Metadata

Oracle Warehouse Builder (ETL, integrated)

Discoverer Administrator (Discoverer)

Analytic Workspace Manager (AWs) Oracle BI Administrator (OBI EE)


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Changes in OLAP 11g

Oracle 11g is currently released for Linux

(Windows is in Beta) Oracle OLAP has many NEW things Coming!

New CUBE_TABLE function in SQL

Tight integration with SQL(automatically generated views)

Tight integration with data dictionary

New Calc Wizard in AWM!

Easier to use and deploy Ability to use OLAP for Materialized views

(get MUCH FASTER response times!)


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OLAP 11g Changes

New CUBE_TABLE function simplifiesaccess to AW data (replacing OLAP_TABLE)


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OLAP 11g Changes

Views automatically created for SQL accessto AWs Dimensions and Cubes!


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OLAP 11g Changes

Views easily accessed from SQL Developer


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OLAP 11g Changes

Automatic views accessible from AWM


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OLAP 11g Changes

Query Rewrite knows about AWs now


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OLAP 11g Changes

Optimizer pushes joins down to AW

Enables efficient non-OLAP-aware SQL queries


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OLAP 11g Changes

Views are stored in Oracle Dictionary

Notice in SYS.USER_DIMENSION_VIEWS


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OLAP 11g Changes

Cost-based presummarization balancesaggregation time with performance


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OLAP 11g Changes

Native support for AWs with skip level andragged hierarchies


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OLAP 11g Changes

Create security policies based on hierarchies


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OLAP 11g Changes

Calc Wizard replaced by powerful "complete the sentence" wizard Expression language more SQL-like

EQs of Calculated Measures in 11g-format AWs "read-only"


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OLAP 11g Changes

Can Create AWs in 11g mode (automatic views)

If no 11g mode, have same flexibility as 10g


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QUESTIONS?


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Implementing Oracle BI EE on TopImplementing Oracle BI EE on TopImplementing Oracle BI EE on TopImplementing Oracle BI EE on Topof Oracle OLAP Cubesof Oracle OLAP Cubesof Oracle OLAP Cubesof Oracle OLAP Cubes

10g and 11g10g and 11g10g and 11g10g and 11g

BIWA Webcast

Dan Vlamis

[email protected]


816-781-2880

http://www.vlamis.com


DiscovererDesktop

DiscovererPlus

DiscovererViewer

Portal(Dashboard)

Client


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DB

EULDiscoverer

Admin

OracleWarehouse

Builder

Design Repository

RelationalTools

MDTools

JOLAPISQL

Creates

Import

Deploy

Desktop

App Server

Infrastructure Tier

MidTier

DiscovererServer

Portal

OID(LDAP)

ExcelSS Add-In

Plus

Browserw/ Applet

HTTP Server

Viewer

Browser

(Dashboard)

Browser

DDLDML

Sources

ReportsServer

Servlet

AnalyticWorkspace

Manager

iDS= Included in

Map

Oracle BI SEArchitecture

BIWA 2007 Implementing Oracle BI EE on Top of Oracle OLAP Cubes 10g and 11g

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