Introduction
to SAP (system application and product) and BW/BI:
SAP it stands for System application product in data processing, it is an
ERP tool,
ERP – enterprise resource
planning
ERP market; in total ERP market
SAP applications having almost 70% business,
Remaining 30% share, oracle apps, people soft, BAAN, MS
dos Etc…..
SAP was founded by IBM former employees in 1972 in Waldorf Germany. The main advantages of using sap as your company ERP system
is that SAP has a very high level of integration among its individual
applications guarantee consistency of data throughout the system and company
itself.
SAP product is considering excellent but not perfect, the
main problem with software is that it can never be perfect.
SAP modules:
SAP solutions
include a number of function modules, Such as:
Ø
Human Resource (HR)
Ø
Financial supply chain management (FSCM)
Ø
Financial Accounting (FI)
Ø
Controlling (CO)
Ø
Material Management (MM)
Ø
Sales and Distribution (SD)
Ø
Logistics Execution (LE)
Ø
Production Planning (PP)
Ø
Quality Management (QM)
Ø
Project System (PS)
Ø
Plant Maintenance (PM)
What is SAP BW/BI
SAP Net weaver business warehouse is the name of Business
intelligence; it was originally named by SAP BIW (Business information
warehouse), analytical, Reporting and data warehousing solution produced by SAP
AG. SAP BIW abbreviated to SAP BW, but it known as SAP BI at end user level
In the SAP BW/BI training essentially we learn three
major parts those are
MODELING
(In the data warehouse work bench)
EXTRACTION
REPORTING
AND
RE- MODELING
It SAP BI is an Entity Relationship model
(ERM)
Entity- any object some set of properties is
Entity.
Customer material salesman
Minimum we required 3 entities for maintain in a table in
the form of fields, every table should have one primary key
Customer ID
Material ID
Sales person ID
ERM:
Is the methodology using which we organize data in the
OLTP applications
Ex: SAP ERP.
OLTP- Online transaction process (Normalized data)
OLAP- Online analytical process (DE-normalized data)
In order to define the relationship between various
entities tables, we should have only normalized data
When we use the ERM model to organize data in the data
warehouse following limitations
1. Data warehouse which we are use for analytical process
always consist of de- normalized data (redundancy of data), when redundancy is
there we can’t use ERM
2. Still if we use ERM to organize data in the data
warehouse, it increases complexity of relationship between various tables.
Which affect query performance?
To overcome those limitations ENTITY RELATIONSHIP
MODEL has been customized according to data warehouse requirement and it
has been renamed has MULTI DIMENSIONAL MODEL
Multi Dimensional Model:
We have 4 methods to organize data using multidimensional
model,
1. STAR SCHEMA
2. EXTENDED STAR SCHEMA
3. SNOW FLEX SCHEMA
4. HYBRID
To construct data in the data warehouse using
multidimensional model, we have 2 approaches
1. TOP DOWN
2. BOTTOM UP
Always in the SAP BW we used
top down only.
1 comments:
Very useful information, freshers can also easily understand. Thank you for sharing this article with us. Know more about SAPUI5 Training
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