Best Practices for SAP BI using DB2 9 for z/OS - IBM Redbooks

A DSO, or data store object, is a data administration layer that saves cleaned
data in flat, transparent tables. This layer can make data available in real time
and enables operational reporting.
Figure 2-2 shows the key components of SAP BI shown within the three pillars
Access, Business Logic, and Presentation. This book only covers the first pillar,
Access, to the different kinds of BI data.
Data Acquisition
Access Business Logic Presentation
Summarized,
ODS
Dimensional
Data
Granular,
Volatile Data
–
Master Data
RDBMS
•Data •Data Partitioning
•Indexing •Indexing
•Parallel •Parallel Querying
BI BI Services BI BI Suite
Drill down, Drill through,
– Business Calculations
– Planning and Forecasts
– Exception Scanning
– Alerting
–
–
Drill Across
Pivoting
What If
– Query Precalculation – Slice and Dice
–
–
Caching
Background Printing
– Gallery of ready-to-use Web
Templates / Items
• Table, Chart
– Data Mining
• Map
• Alert Monitor
• Context Menu
Common Read / Write Interface
Data Warehousing BI Platform BI Suite
Figure 2-2 SAP BI key components
Terminology changes for SAP NetWeaver 2004
As of SAP NetWeaver 2004, some existing BI terms have been changed to
better reflect the enhanced functions of the tools and objects. See Table 2-1.
Table 2-1 Terminology changes for SAP NetWeaver 2004s
New term Old term
DateStore Object (DSO) ODS Object
DateStore object for direct update Transactional ODS object
Real-time InfoCube Transactional InfoCube
Virtual Provider RemoteCube, SAP RemoteCube,
InfoCube with services
Data Warehousing Workbench Administrator Workbench
Extraction Monitor Monitor
Open Interface and Web Services
Chapter 2. Overview of SAP BI and related data 11
USER Interaction