For More Info: Please visit, http://www.zarantech.com/course-list/sap/bw-bi/ Contact Info: 515-309-7846 (or) Email - info@zarantech.com SAP BW 7.3 Training Features: All New Features of SAP NetWeaver BW 7.3 including: - Graphical Data Modeling with very Complex dataflows - Advanced Info providers (Hybrid providers,Trasit providers,Sematically Partioned Objects. - SAP NetWeaver BW and In-Memory Technology (SAP HANA SP5 In memory Optimized cubes,In Memory Optimized DSO'S,Completely Migration Concepts Using Migration Tool) - New SAP NetWeaver BW 7.3 Hierarchy ETL ,Uploading Hierarchy from the Faltfiles using new Hierarchy Frame Work. - SAP NetWeaver BW 7.3 and SAP Business Objects (SBO) - BW 7.3 Enhancements in: Process Chains,DSO'S ,MASTER DATA LOADING,TRANSFORMATIONS - Unit and Currency Conversions in Transformations. - ABAP Will be Covered Up to What Extent BW Consultant Required for Complex routines,Functional Modules - Very Complex Routines,Lokup ,Return Table..For Every Dataflow " Expert Routine is Also Covered" in detail. - Mini project " With very Complex dataflows (All realtime Project Scenarios. - DataFlow Upgradation Tool .How to Upgrade 3.X dataflows to BW 7.X dataflows Using DataFlow Upgradation Tool. - Integration with SAP BO DS 4.0 (ETL with SAP BO DS 4.0) SAP BW as Source using "OPENHUB Destinations" and "BW as target" in SAP BODS 4.0 all scenarios will be covered(ABAP Dataflows) - Main project(Students have to complete END TO END Implemented project (For One Business Senario). Cannot Attend LIVE sessions !! - Then we have another option for you. It is called Instructor led VIDEO training. See this Video for more info, youtube.com/watch?v=naPdAyKvAI0

1. SAP Business Warehouse BW BI 7.3
Instructor led training

2. Introduction

3. Agenda
• SAP BW Product (Definition)
• OLTP systems (Traditional Databases)
• OLAP systems (Data Warehousing)
• OLTP Vs OLAP
• Data warehousing (Categories)

4. Agenda (contd.)
• SAP BW as a Data warehousing tool
• SAP BW Skill sets
• SAP BW Product Roadmap (Core Functionalities)
• Course Content explanation
• Roles & Responsibilities (Career Progression)
• Training features and benefits

5. Definition:
SAP BW is an End- to -End Data warehousing solution
Key words:
• Data warehousing
• End to End
# 1 Data warehousing tool in the market

6. Data warehousing:
To understand and appreciate the concept of
Data warehousing, the following topics needs to be
discussed:
• Traditional Databases (RDBMS Concepts)
• Advantages and Disadvantages
• Online Transaction Processing Systems (OLTP)
• OLTP reporting (transactional reporting)

7. SAP BW 7.3
Traditional database:
•Database is defined as an organized collection of data
Typical Scenario- An user/customer makes a transaction and the transaction data is stored in the
database
TRANSACTION DATA
• Quicker and easier Data manipulation
(Inserts/Deletes/Updates)
• Designed for storing transactional type data
• Faster transactional reporting
Benefits of a traditional database:

8. Bank Transaction
Example of a transactional database
Bank transaction scenario
Online Transaction Processing
System (OLTP)
Bank
Transactional
Database
Online Transaction
Account #
Date
Transaction
Amount
100
01/01/2013
Deposit
10000
100
01/31/2013
Withdrawal
5000

9. Transactional Reporting (Examples)
1. What is my bank transactions for January 2013 ?
Account # Date
Description
Amount
100
01/01/2013
Deposit
Pay stub
10000
100
01/03/2013
Deposit
Rent
1000
100
Database
Transaction
01/10/2013
Withdrawal
Groceries
500
100
01/15/2013
Check Payment
Electricity Bill
100
100
01/31/2013
Withdrawal
Restaurant
50
2. How many deposits made in January 2013 ?
3. How is my spending this January 2013 compared to January
2012?
?????
4. Trend reporting for all restaurant based
transactions

10. Transactional Database Not Suitable for:
• Intelligence based reporting (Analytical Reporting)
• Trend Reporting (Year to Date, Month To Date)
• Multi Dimensional analysis
• Forecasting & Planning
• Analyzing Historical data
Reasons:
• Database structured for transactions
• Highly normalized
• Less Volume (Typically 60 days)
• Database uses Entity Relationship modeling

11. Intelligent/Analytical Reporting
• Transactional Database structure prevents analytical type reporting
• To overcome this limitation, the database structure needs to be modified
Database structure Conversion
Transactional
Database
Traditional database
Multi
Dimensional
Database ( Data
Warehouse)
Data Warehouse

12. Data Warehouse (Definition)
• Commonly referred to as “Decision Support System”
• Database structure used for reporting and data analysis
• A central repository of heterogeneous data from different sources
• Typically contains Current and historical data (Large Volume)
• Uses Multi Dimensional Modeling
Online Analytical Processing System (OLTP)
Data Warehouse

13. Reporting using Data Warehouse
Transactional Database for Bank ABC
Naperville
Branch
Oracle DB
Data Warehouse
Analytical Reports
Westmont
Branch
MS SQL DB
Rosemont
Branch
MS SQL DB
Illinois Data
Warehouse

14. Data Warehouse (Primary Functions)
Modeling
Data Warehouse
Extraction,
Transformation,
and Loading (ETL)
Reporting
3 primary functions of Data warehouse tool

15. Data Conversion
Step1 Convert
the ER model to
MDM Model
Trans. DB (ER
Model)
Step2 Extract data
from Source
Database
Step1a. Create the
MDM structure for
the data warehouse
Step2a Transform
source data
according to
business
Step2b: Load
into DW
Step3: Generate
Analytical reporting
Data
Warehouse
(MDM
structures)

16. Why use SAP BW as the Data warehouse tool?
• To know the advantages of SAP BW, we need to understand the different
categories of Data warehousing (DW) tools available in the market
DW Categories:
•Leverage traditional database (In house resources)
•Mix and Match (Using 3rd party tools)
•End to End DW tool

17. Leverage traditional database (In house resources)
• Use existing resources (Traditional databases, Modeling
tool) already available in the organization
• Typically smaller companies use this approach
Advantages:
1. Low cost (using existing resources)
Oracle
DB
MS SQL
DB
Disadvantages
•Create the Data warehouse from scratch
•Time to deliver the product is very long (Life cycle
development process)
•Lose competitive edge over competitors
4. Scalability issues to new data sources
Use In
house
modeling
resource
(Limited
Func.)
Create a
structure
similar to
DW
In house
reporting

18. Mix and Match (Using 3rd party tools)
• Buy additional 3rd party tools for Modeling, ETL , and
Reporting
Advantages
1. Need not create DW
from scratch
Oracle
DB
MS SQL
DB
Customized Data warehouse (3rd party)
CA ERWIN tool for
Modeling
Informatica for
ETL
Oracle DB
Cognos for
reporting
Disadvantages
•Expensive to buy several 3rd party tools
•Maintenance/Upgrade very time consuming and expensive
•Data compatibility with different source not guaranteed
4. Data integrity issues

19. End to End DW tool (SAP BW)
• DW product that provides Modeling, ETL, and Reporting capability
all in one
SAP BW
Oracle
DB
Modeling
MS SQL
DB
ETL
Reporting
SAP BW
MDM DB
Advantages
•Need not create the DW from scratch
•Already prepackaged with industry specific modules
•Time to product delivery is very quick ( Shorter Life cycle)
4.Compatible with almost all sources (SAP, Non SAP)
5. Data integrity (SAP is market leader in ERP)

20. Why SAP BW?
Organization perspective:
•
•
•
•
•
•
# 1 Data warehousing product in the market
Over 20000 organizations use SAP BW for DW.
Includes Top 50, 500, 1000
One stop shop for all Data warehousing needs (End to End)
Prepackaged for all modules (Finance, HRMS, Logistics)
Huge knowledge base available for support
Consultant perspective:
• # 1 Data warehousing product in the market
• Job opportunities are plenty (Highly lucrative)
• High job satisfaction to be involved in the end to end
process of data warehousing
• Very minimal programming
• Highly analytical and problem solving in nature

21. SAP BW
Course Roadmap
Database Fundamentals (OLTP/OLAP)
Entity Relationship/Multi Dimensional Modeling
SAP BW Technical Overview
Modeling
ETL
Reporting
Building blocks of SAP BW
Info objects, In fo cubes, DSO, Info providers, Info sets, Multi providers
Star and Extended Star
Schema
Design approach for various
building blocks
Data Migration concept for 3.x
to 7.x versions
Process Chain design
Building blocks for ETL
Data source, Info package,
Data Transfer process,
Transformation Rules,
Re
Routines
Source Data extraction
SAP Source (Standard &
generis), Non SAP sources
(Flat files, DB connect,
other Databases)
Business Explorer
Query designed, Bex
Analyzer, WAD,
Workbooks, Customer
Exit, RKF, CKF, Cell
editor
Business Intelligence
BO Reporting tools
(Crystal Enterprise,
Dashboard, Webi, UD,
IDT
Performance tuning
Other Topics (Transports, security, upgrade, maintenance). Introduction to HANA. New
concepts in SAP BW 7.3. Case studies, and Assignments

22. Skill Sets for SAP BW
• Good Understanding of Database concepts ( Taught as part of the course)
• Good Understanding of SQL statements ( Taught in the course)
• Openness to learning new tools
• Good Analytical reasoning
• Good Problem solving
Roles & Responsibilities
After the Course:
• SAP BW Developer /Consultant
• Data Modeler (Designing)
• ETL Developer (Data flow and ETL)
• Reporting developer ( report Design & dev)
Career progression
• SAP BW Architect/ Solutions Architect
• SAP BW Lead/ Manager

23. Training Benefits:
• Trainer holds a MS degree in MIS ( Concentration on BI & DW)
• 11 years of SAP BW hands on experience
• Over 9 Full Life Cycle implementations in SAP BW
• Several SAP BW Upgrades
• Subject Matter expertise in SAP FICO, AP, AR, GL, HR, BPC
Training Methodology
• Every theoretical concept will be backed with hands on
experience
• Assignments and case studies will be provided for all major
concepts (Over 200 hours of case studies & assignments)
• Provide real world examples for each concept
• Provide guidance on day to day issue resolutions
• Tips and tricks on resolving SAP BW issues
• Great training blog for all participants to interact with
instructor
• Great Server access and training material access

24. Questions???

25. Thank you!!!