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SAP Net weaver Business Intelligence 2004S SAP NETWEAVER BUSINESS INTELLIGENCE 2004S  BY: Santhosh Singh Thakur ASSOCIATE SAP BI CONSULTANT DEXLER INFORMATION SOLUTIONS PVT. LTD  Page 1 of 10

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SAP Net weaver Business Intelligence 2004S

SAP NETWEAVER BUSINESS INTELLIGENCE 2004S

 

BY:

Santhosh Singh Thakur 

ASSOCIATE SAP BI CONSULTANT

DEXLER INFORMATION SOLUTIONS PVT. LTD

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SAP Net weaver Business Intelligence 2004S

Table Of Contents

DATA FLOW IN BW ........................................................................................................................ 6

DATA FLOW IN BI7.0 ..................................................................................................................... 7

SOME MORE DIFFERENCES BETWEEN BW AND BI ................................................................ 8

DIFFERENT TYPES OF SOURCE SYSTEMS SUPPORTED BY BI AND THEIR INTERFACES

 ........................................................................................................................................................ 8

CONCLUSION ................................................................................................................................ 9

BIBLOGRAPHY .............................................................................................................................. 9

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SAP Net weaver Business Intelligence 2004S

Abstract

This white paper aims to give a basic understanding of Business Intelligence terminologies

and concepts to a novice user.

Keywords

OLTP, OLAP, BW Accelerator, BW3.5, Info Package, PSA, Data Store Objects, Info Cubes

Open Hub Destination, Process Chains.

Introduction

SAP NetWeaver Business Warehouse (SAP NetWeaver BW) is the name of the Business Intelligence,

analytical, reporting and Data Warehousing solution produced by SAP AG. In the early stages it was

named as SAP BIW (Business Information Warehouse), which is then changed to SAP BW. But at end-

user level it is known to all as Business Intelligence. It is delivered with different tools so that almost any

form of data can be extracted and delivered in the desirable report form. Companies often experience

problems when the data they have is not utilized in a proper way. SAP Business Intelligence when

implemented successfully plays a vital role in the growth of the organization. The 7.0 version of SAP BI

was released in June 2006. It includes many new features such as next generation reporting and

analytical features, major data warehouse enhancements, and an external memory resident tool called

as BW Accelerator for improving the query performance. It requires a separate licensed fee. In addition

SAP acquired Business Objects one of the premier business intelligence software providers, SAP

promised to give a tighter integration between Business Objects and SAP BI.

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SAP Net weaver Business Intelligence 2004S

Figure 1: Project Life Cycle

Above shown are the stages involved in any implementation of a SAP project where the involvement of 

the BI is in the project realization stage. A business blue print stage is nothing but a requirement

gathering stage where the client is involved.

System Landscape

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Project

Preparation

Business

Blue Print

Quality

Testing

Go Liveand

Support

ProjectRealization

BI comes into picture

TR OLTP TR 

OLAPTR TR 

BI DEV

ECC6

PRODECC 6

DEV

ECC6

QUA

BI QUA BI PROD

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SAP Net weaver Business Intelligence 2004S

Figure 2: System Landscape

DEV: Development QUA: Quality PROD: Production TR: Transport Request

 

The System Landscape for a BI project contains the above shown servers, which also includes transport

requests. Once the developments are done in the DEV server, a Transport Request is generated to the

QUA server from there to the Production server.

OLTP vs OLAP

OLTP-R3 OLAP-BI

Current data is available in the OLTP

side

Granular data/Detailed data is stored

Data Stored in Flat Structures or Tables

Historic data available in the OLAP

Summarized (or) Aggregated data is

stored

Data Stored in Multidimensional Structures

For example: Info Cubes

Not much integration is possible

Data Stored for 1-2 years

Supports Huge number of concurrent

users

Highly Integrated Environment

Data Stored for 5-7 years

Supports less number of concurrent users

Note: Usually OLTP is slower than OLAP 

Difference Between BW and BI

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SAP Net weaver Business Intelligence 2004S

Many people do not have a clear understanding what exactly a BI is and what exactly BW is. Here, in this

paper I will mention some major differences between this two. BW is the older version (BW3.5) of BI

(7.0), which is presently in the market.

One major difference between BI and BW is the data flow by which data is loaded in to the data targets.

DATA FLOW IN BW

 

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Source Systems

Data Source

Info Source/Communication

Structure

PSA

Info Package

Pushing data directly

Into Data Target

Transfer Rules

Update

Rules

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Figure 3: DATA FLOW IN BW

In BW data flow the data can bypass the PSA, that is, the info package can directly take the data to the

data target. Transfer rules are used to convert the Source System-specific data into the BW-specific

data, by eliminating the semantic and technical differences between them.  Update rules are used to

perform transfer machines required for a business point of view,  like for example, perform additional

data validations and integrity checks, skip unnecessary data, aggregate data, convert currency, unit of 

measure and so on.

DATA FLOW IN BI 7.0

 

DTP

Info Package

Figure 4: DATA FLOW IN BI 7.0

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Source Systems

Data Source ES/TS PSA

Transfor mation

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SAP Net weaver Business Intelligence 2004S

In the BI 7.0, data flow PSA is mandatory that all the data that is to be loaded have to pass through the

PSA. A Persistent Staging Area (PSA) stores raw data from the source systems. In this data flow the Info

Package pulls the data from the source system and halts in the PSA. A DTP sends the data from PSA to

the Data target. The Transformation is used to match the fields of the source system with fields of the

Data target to load data.

DTP: Data Transfer Process, ES: Extract Structure, TS: Transfer Structure

Some more differences between BW and BI (upgrades from BW to BI)

o Administrator Workbench is renamed as Data Warehousing Workbench in BI.

There are additional modeling options available in BI in left hand side panel in transaction RSA1.

The additions are 'Data Sources' and 'Open Hub Destination'.

o The functions of the Info Package tree are fully covered by process chains.

o

In BI, Process Chains are used instead of Event Collector.o In BI, the ‘Remodeling’ transaction helps you add Key Figures and Characteristics in an Info

Cube while handling historical data effectively.

o Info Cubes can be included in Info sets.

o Transformation is used instead of update and transfer rules.

o ODS objects have been renamed as Data Store Objects.

Different types of source systems supported by BI and their interfaces.

BI supports almost all types of sources for extracting data including relational and file systems. The

types of data sources and their interfaces supported by SAP BI are shown below.

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SAP Net weaver Business Intelligence 2004S

Figure 5: Different types of source systems supported by BI and their interfaces

While using flat file interface the formats supported are ASCII/CSV.

While extracting data from web the protocol used is Simple Object Application Protocol this SOAP push

HTML or XML data to BI.

The different components used by UD connect are JDBC, ODBO, SAP QUERY, and XMLA.

The components of DB connect are DBSL (database shared library), DBCLIENT

SAP R3 is an OLTP system acting as a source here.

Conclusion

This white paper introduces the terminologies of BI with clearly differentiating between BI and BW

explaining the different source system and their components.

Bibliography

•  http://images.google.co.in/imgres?imgurl

• http://cscstudentweb.lr.edu/swp/Berg/articles

• http://wiki.answers.com/Q/Whatis_the_difference_between_sap-bw_and_sap-bi 

• http://itknowledgeexchange.techtarget.com/itanswers/what-are-the-features-in-updaterules-that-

we-cant-find-in-transfer-rules/

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SAP-R3

SAPIDBConnect

UDConnect

WebServiceInterfaceFileInterface

DatabaseWebFile

Multi dimensional

databases

Relational databases