lecture 1 - business warehouse

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SAP Business Intelligence

Module 1

Business Warehouse Overview


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Copyright

These materials and their content are the sole property of MaverickConsultant Management, Inc.

These materials may not be reproduced, used in a classroom, or utilized in

any way without the express written permission of Judd D. Bradbury.

Copying or posting without permission is a violation of legal copyrightprotections.

Permissions may be obtained by calling 214-476-7461.


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What is a Data Warehouse?

Data Warehouse

User Reporting

Source

System

Source

System

Source

System

A data warehouse is a well structured commondata architecture for providing business intelligence.

A data warehouse is a specificcompany-wide data pool in order

to support decision makers. Top management Mid and lower management Planners, controllers,


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Business Need for a Data Warehouse

Standardized structure andpresentation of the truth

Easy to use single point of access Sophisticated business reporting

methods

Data staging from a heterogeneousenvironment

Data access independent of thesource systems

Time dependent master data

Data Warehouse

User Reporting

Source

System

Source

System

Source

System


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Information System Environments

On-Line Analytical Processing information systemsare designed to answer multi-dimensional analytical

queries at a high rate of speed.

On-Line Transaction Processing information systemsare designed to handle a high volume of repetitive

business transactions.


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OLTP Versus OLAP

OLTP OLAP

- Optimized to get data in - Optimized to get data out

- For management anddaily business

- For administration and dailydecisions

- Processes a small amount of

data per transaction

- Processes a large amount of

data per transaction

- Business-critical availability - Less critical availability

- Data updates online - Data updates regularly

- Data overwritten - Data are time-dependent


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Importance of the Data Warehouse

Provides a high speed OLAP reporting environment Avoids competition of system resources with OLTP

systems

Data Warehouse

SAP ERP

Data Mining &

Analytics

Data Mining &

Analytics

Data Mining &

Analytics

OLAP ReportsOLAP ReportsOLAP Reports

Transaction Based

Applications

Transaction Based

Applications

Transaction Based

Applications

NetWeaver Interface


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SAP NetWeaver

The SAP data warehouse utilizes an integration architecture technologycalled NetWeaver.

NetWeaver Architecture is used by all of the SAP application suites toexchange information. Data exchange Web based platform XI middleware


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Requirement for OLAP Systems

Many concurrent users (1000+) Sophisticated authorizations and security Fast response time (< 5 sec) High data volumes (>100+ GB or TB) Multiple data sources Easy to use (slice, dice, drill-down, roll-up) Enhanced reporting functions


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OLAP Versus OLTP Systems

OLAP Systems OLTP Systems

Objective Competitive Advantage Business Process Efficiency

Priority Flexible Access to Data High Availability

Data View Summarized Detailed

Age of Data Historical CurrentDatabase Operations Read Add, Modify, Delete

Data Structures Multi-Dimension Relational

Data Integration Extensive Minimal

Data Sets 2-7 years 6-18 Months


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Multi-Dimensional OLAP Data


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OLTP versus OLAP

On-lineTransactionalProcessing

On-lineAnalytical

Processing

Corporate

Planning

Accounting

Supplier Management,

Production Planning,

Cost Planning,

Supplier

Accounting

Purchasing Stocks Sales Personnel

W

arehouse

Accounting

C

ustomer

Invoices

E

mployee

S

alary

Administration II:

Amount-Oriented

Processing

Administration I:

Value-Oriented

Processing

Disposition and

Planning

Analysis

and Controlling

StrategicEnterprise

Management

Horizontal Integration


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Data Integration Process

Source systems -External data sources-Internal data sources

Multi-dimensional data -Information models-Aggregation

Extraction, trans-

formation, loading-Selection, extraction,-Modification, loading

Data warehouse -Data Targets-Data Transfer Process

Data analysis and

analytical applications-OLAP, MIS, cockpits,-Planning, scorecard,


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Layers of SAP NetWeaver BW

Extraction Layer: InfoPackage

(Persistent) Staging Area

Reporting & Analysis Layer

Transformation Layer

InfocubesData Store

Object

data targets


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Extraction Layer

Predefined customizableextractors for SAP

applications

Direct extraction fromdatabase tables or views

Web services Flat file interface Staging BAPI





InfocubesData Store

Object

data targets


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Persistent Staging Area

Storage area for dataextracted from sources

Requested data is saveddirectly from its source

(without changes) First step in loading data

into the operational data

store (ODS) and data

warehouse Extraction Layer: InfoPackage




InfocubesData Store

Object

data targets


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Converts source datafrom the source

format to the data

target format

Data field mapping Transformation

programs

Formulas Extraction Layer: InfoPackage(Persistent) Staging Area



InfocubesData Store

Object

data targets


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Extraction Transformation Load (ETL)

Source: Data warehouse framework. BiPM Institute. Retrieved February 22, 2008 from http://bipminstitute.com/template/topic.php?topic_id=DAC


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Data Store Objects (DSO)

Replication of datafrom a transactional

system

Provides overwritecapability

Used to supplyinfocubes





InfocubesData Store

Object

data targets


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Infocubes

Data targetspecifically designed

to perform OLAP

reporting

Utilizes the extendedstar schema

Forms the basis ofqueries Extraction Layer: InfoPackage




InfocubesData Store

Object

data targets


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Reporting and Analysis

Tools where data ispresented in reports

& dashboards

SAP BusinessExplorer Bex

Components

Web ApplicationDesigner

Web Portals Extraction Layer: InfoPackage(Persistent) Staging Area



InfocubesData Store

Object

data targets


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Data Warehouse Workbench

RSA1


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Data Warehouse Workbench - Modeling

Infoprovider

Selection

Infoarea

Infocube

Transformation

Infosource

DataSource

Infopackage

Transfer Rules


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What is a Data Warehouse?

Infoarea represents the highest level of grouping for information objects.Infoareas typically have themes like customer analytics or profitabilityanalysis.

Infocube is a flexible data cube target designed for OLAP reporting. Transformation is a program routine that transfers and formats datafrom a data source to a data target. Infosource an information object that is available for loading a data

target.

Infopackage is a scheduler for creating the data set from the source thatis saved to the data target.

Datasource the description and location of master data from databasetables, flat files or other data sources.


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Data Warehousing Architecture Options

Source

System

Source

System

Source

System

Source

System

Global BW

Enterprise

Data Warehouse

Local BW

Data Mart 1

Local BW

Data Mart 2

Local BW

Data Mart 3

Local BW

Data Mart 4

Reporting Tools Reporting Tools Reporting Tools Reporting Tools

Core Landscape


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Data Warehousing Architecture Options

Source

System

Source

System

Source

System

Source

System

Global BW

Enterprise

Data Warehouse

Local BW

Data Mart 1

Local BW

Data Mart 2

Local BW

Data Mart 3

Enterprise Level

Analysis Needs

Peripheral Landscape

Local Reporting Local Reporting


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Data Mining - Analysis Process Designer


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BEx Query Designer


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BEx Analyzer

RRMX > Add-Ins > Bex Analyzer > Open Query


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BEx Analyzer - Report from Data Cube

Executed Query


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Summary

Data Warehouse is a structured architecture for reporting OLAP systems are designed for high speed executive reporting OLTP systems are designed to handle high volume transactions NetWeaver is the integration architecture technology used by SAP

BW

Netweaver BW has 4 main layers Extraction Layer Persistent Staging Area Transformation Layer Reporting Layer


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Summary

Data Warehouse Workbench is for creating data models Analysis Process Designer is used for Data Mining BEx Query Designer is used for creating new reports BEx Analyzer is used for performing data analysis

lecture 1 - business warehouse

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