sap bi ods.ppt

7/27/2019 sap bi ods.ppt

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What is an ODS

When to go for ODS

Benefits of ODS

Types of ODS Classes of ODS

ODS Vs Data warehouse

Relocating the ODS

Examples of when and when not to use an ODS

Agenda


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ODS in a Warehouse

Click streams

Flat files

Mainframes

Oracle on UNIX

Purely an operationalconstruct

Fed by disparateapplications

Data transformed andintegrated as passed intothe ODS

Integrates data within the

operational environment Focus is on immediate

decisions

DataTransformation

ODS

DW


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Size for large corporations

Nature of business for immediate need of information

Large and messy legacy system

When to go for ODS


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High performance, real time access of

Integrated data

2/3 second response time,24x7 availability

Benefits of ODS

The primary use of the ODS


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A place to integrate data when applications are impervious tochange or a place to operate on integrated data while theoperational environment is being changed

A secondary use of the ODS

Benefits of ODS contd..


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ODS typically containsprofile records which is madeavailable quickly

A profile record

Mary Jones

- skier

- programmer

- single

- mother of two

- drives a Porsche

- invests in real estate

- speaks English and French- college educated

- works for IBM

- pays bills late

- has MasterCard and VISA



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Mary Jones

- skier

- programmer

- single- mother of two

- drives a Porsche

- invests in real estate

- speaks English and French

- college educated

- works for IBM

- pays bills late

- has MasterCard and VISA

The profile record is madefrom analysis of many othersources



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Typical technologies used

DB2

Oracle


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Commercial- Includes popular software packages eg. SAP

- Fed from older applications

- Takes long time to implement- Brittle

Custom Built

- Organization builds its own ODS- No problem in fitting the organization needs

Types of ODS


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There are three basic speeds that data flows into the ODS- class I very real time (1/2 seconds or less)- class II 4/5 hours- class III overnight or greater- class IV instantaneous access to small amt of strategic

information

Classesof ODS


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Class I is rare it is expensive andthere is no time for integration eg.

Class II is common it is cheap and integration can

occur

Class III is very common it is cheap and there is plentyof time for integration

Class IVcan rapidly access key strategic informationwhile performing operational tasks

Classesof ODS contd..


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Example of Class IV

Customer ID Instantaneous Loan Amount

0010199 $100,000

0010200 $150,000

028971 $75,000

0190432 $25,000

2159801 $200,000

Results of Instant Loan Amount Analysis


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Example of Class IV contd..

Customer ID Name AddressPre-Approved

Loan AmountPhone Number

0010199 Ron Powell 101 Maple St. $100,000 555-2342

0010200 Jean Schauer 53 Maple Ave. $150,000 555-7896

0028971 Jon Geiger 23 Center St. $75,000 555-4326

0190432 Claudia Imhoff 10 D. Court St. $25,000 555-7654

2159801 Joyce Norris 1908 Phillips St. $200,000 555-3452

Strategic Data Stored in the ODS


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ODS VS Data warehouse


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ODS Datawarehouse

Construct Operational Informational

Volatility Volatile Non volatile

Information Fresh and current Rich in History

Detail Detailed Both detailed andsummary

Focus of the

decisions

Immediate Long to Mediumterm

ODS VS Datawarehouse contd..


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ODS in new world

Agreement on 2 schools of thought


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The original ODS architecture necessitated two pathways and two systemsbecause the main data warehouse wasn't prepared to store low-level

transactions

Relocating the ODS


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The new ODS reality. The cleaning and loading pathway needs only to be asingle system because we are now prepared to build our data warehouseon the foundation of individual transactions.

Relocating the ODS contd..


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Subject Oriented

Integrated

Frequently Augmented

Sits within the full data warehouse framework ofhistorical data and summarized data

Should be organized around a star join schema design

May additionally contain back references to the legacy

system Supported by extensive metadata

Naturally supports a collective view of data

Redefining the ODS


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Inmon Vs Kimball

CIF Name Definition Bill Inmon Ralph Kimball

DataWarehouse

Snapshots ofdata extracted

from operationalsources that areintegrated,cleansed andloaded in areadilyaccessibleformat forstrategicdecisionsupport.

DataWarehouse or

Atomic LevelDetail

Staging Area orOperational

Data Store


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Inmon Vs Kimballcontd..


Data Mart A subset of datawarehouse data

used for aspecificbusinessfunction whoseformat may be astar schema,hypercube orstatisticalsample

DepartmentalDatabase or

Data Mart

DataWarehouse

(virtual) or DataMart


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OperationalData Store

An updatableset of integrated

operational dataused forenterprise- widetactical decisionmaking.Contains live data, notsnapshots,andhas minimalhistory retained.

OperationalData Store

None Available

Inmon Vs Kimballcontd..


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Good Application of an ODS :

- Subject-area reporting

- Functional integration

Bad Application of an ODS :

- Single source for all data warehouse data

- The operational data store is used as a department-specific application.

Examples of when and when not to

use an ODS


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Inmons Appraoch

ODS Vs Datawarehouse

Kimballs Approach

When and when not to use ODS

Summary


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Thank You

Documents

sap bi ods.ppt