white paper bi
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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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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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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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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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SAP Net weaver Business Intelligence 2004S
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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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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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
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• http://www.bridgeport.edu/sed/projects/cs597/Fall_2003/vijaykse/business_content.htm
• http://publib.boulder.ibm.com/infocenter/ablxhelp/v8r4m0/index.jsp?
topic=/com.ibm.db2.abx.dev.doc/abx-t-develop-sapbwdatasource.html
• http://en.wikipedia.org/wiki/SAP_NetWeaver_Business_Intelligence