SAP BWSAP BI
D a t a W a r e h o u s i n g
Topics: Day 1
What is SAP? What is SAP BW or BI? Basic concept of Data Warehousing OLTP vs. OLAP
SAP
SAP AG is the name of the biggest European software company. The head office is in Walldorf, Germany. SAP was founded in 1972 as Systemanalyse und Programmentwicklung ("Systems Analysis and Product") by five former IBM employees in Mannheim, Germany
SAP BW
SAP Business Information Warehouse (SAP BW) is the name of the Business Intelligence, analytical, reporting and Data Warehousing (DW) solution which is one of the major enterprise software applications produced by SAP AG. It was originally named SAP BIW, (Business Information Warehouse), but is now known as "SAP NetWeaver BI".
SAP BW is now part of a suite of SAP applications called SAP NetWeaver. Other components of SAP NetWeaver include SAP Enterprise Portal (EP or SAP NetWeaver Portal 7.0), Web Application Server (WAS), SAP Process Integration (PI) and Master Data Management (MDM).
Why SAP BW/ BI?
Business Example
Business Trend
Information System Demand Immediate single-point access Coverage of all business process High quality information Quality decision support system Short time with less resource and less effort
Data Warehouse Definition More information stored with more detail Reduce data Structure data Meaningful analysis
So, Data Warehouse brings together from heterogeneous operative data sources and
have different degrees of detail in a scalable form for future requirements and analysis to
the organization.
Data Warehouse Properties Read-Only Access Cross Organization Focus Time-Period Historization Efficient Query Processing Evolution Tool
Data Warehouse Aims…
Modern Data Warehouse must havefollowing objectives Standardized structuring and display of all
business information Simple access to business information via
single point of entry Highly-developed reporting for analysis Quick and low cost implementation High performance environment. Data modeling
from heterogeneous sources Relieving OLTP systems
Distinction between the Operative/inoperative Environment
Distinction between a Data Warehouse and an OLTPSystem cont.
Level of detail History Changeability Integration Normalization Optimized
Distinction between a Data Warehouse and an OLTPSystem cont.
Operative OLTP environments are fundamentally different to analytical OLAP/ data warehouse environments in the following ways:
Readings
BI Capabilities Chapter 1: BW310 OLTP VS OLAP
Day 1: Summery
SAP and SAP BW or BI What is Data warehouse? MIS Modern MIS demand OLTP and OLAP
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