bw201 guidelines for managing sap business information warehouse
TRANSCRIPT
8/6/2019 BW201 Guidelines for Managing SAP Business Information Warehouse
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BW 201 Guidelinesfor Managing SAPBusiness Information
Warehouse 3.5
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© SAP AG 2004, SAP TechEd / BW 201 / 2
Contributing Speaker(s)
Rudolf HenneckeNetWeaver RIG EU, SAP AG
Ron SilbersteinNetWeaver RIG US, SAP Labs, LLC
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Agenda
Overview
Process Chains
Key Concepts
Implementation
System Monitoring
Data Management
Capacity Planning
Summary
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Learning Objectives
As a result of this workshop, you willbe able to:
Understand key concepts of BW system management
Develop enhanced strategies for effective BW system
management
Incorporate best practices into BW system management
procedures
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Agenda
Overview
Process Chains
Key Concepts
Implementation
System Monitoring
Data Management
Capacity Planning
Summary
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Collaborative efforts: technical and functional
team members Exploit all advantages of process chains:
automate all key system activities
Proactive monitoring : Utilize the available tools to
their potential, optimize accordingly
Data management : Consistently delete temporary
data, summarize, consolidate and reduce data
volume; minimize object sizes
Plan for growth: Sound capacity planning
ensures system sizing and resource allocation is
commensurate with user load and data volume
growth rates
Service excellence: Vigilance in providing strong
and performant SAP BW production environment
AND attentively support ongoing development
phases, ensuring quality via change management
process
Characteristics of Effective SAP BW System Management
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Ongoing Maintenance and Optimization Efforts
Monitoring and System Management
Performance Tuning and Optimization
Evaluation
Identify Bottlenecks
Coordinate EffortScheduling
Tactical Tuning
Resource Allocation
Track Concerns
Manage Data Volume
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Agenda
Overview
Process Chains
Key Concepts
Implementation
System Monitoring
Data Management
Capacity Planning
Summary
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Process Chains Motivation & Key Functionality
Automation of key SAP BW operational activities: data load and other
tasks (ie compression, aggregate rollup, reporting agent)
Graphical modelling:
build a control flow of tasks to be executed in a defined sequence
Central monitoring of SAP BW operational activities
Ability to Create and implement a custom process type: powerful!
These activities may require a significant administrator effort ,
without using process chains, risks include: Inefficient utilization of BW and basis teams’ time
Possibility of missed activities, , human error Limited monitoring capabilities
Some Important Process Chains Features:
Openness: Interface for Job Scheduling for SAP BW (Integration
scenario to process chains for certified partners)
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Process Chains Concepts: Typical Data Load Cycle
Data Load
Monitor
Other Monitors
Start
Change Run (MD activation)
Data loaded
into ODSObject
Activate ODS
Object data
Roll up
Aggregates
Reporting
Agent Jobs
Load Master Data
Data MiningJobs
Data loaded into
InfoCube
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Concept Example: Building a process control flow
Start
IC Data
Load 1
Failure
IC Data
Load 2
IC Data
Load 3
Success off all 3? Failure
System
Admin
Failure
System
Admin
Load 3 InfoPackages
concurrently into 1 InfoCube
RollupAggregates
LoadMaster Data
Activate
Master Data
Success
Success
EmailSystem
Admin
Failure
System
Admin
Perform change run
(master data activation)
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Process Chains Graphical Modeling and Monitoring
SAP delivers
many process
types!
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Process Chains: Log View (aka Monitoring View) - RSPC
Process in Green
shows a successful
completion
Processes in Red
indicate a failure
Processes in Grey have
yet to be executed
Note: CCMS has an overview
of process chain successes
and failures
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BMC (Control-M)CA (Unicenter job mgmt adapter)TIDAL (Enterprise Scheduler)UC4 (UC4 Global)
ORSYP (Dollar Universe)Redwood (Europe) (Cronacle)
CA
Certified scheduling/monitoring tools
offering integration with process chains:
Third-Party Scheduling & Monitoring Tools BW-Certified
A d
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Agenda
Overview
Process Chains
Key Concepts
Implementation
System Monitoring
Data Management
Capacity Planning
Summary
P j t l i d j t i ti
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ProjectPreparation Final
PreparationRealization Go Live &Support
BusinessBlueprint
ContinuousImprovement
Project planning and project organization
Project planning
Process chains should be designed after modelling data flowsbut during the realization phase
Use the final preparation phase of your project to test your processchains for performance, correctness and robustness
Project organization
Team members must be able to use process chains,
but also need knowledge about:
Data warehouse administration Single process types used in process chains
If several project teams build process chains in the same
system, a central documentation process is critical
How to start process overview
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Collect all processes that have to run before
data can be released to end user
Data Loading processes
Administration processes
Reporting Agent processes
Define time windows for process chains
Requirements on data availability from business
Contact basis administration team for information
on jobs in source systems that have to run before data loading
Define dependencies and priorities
Define whether one or several predecessors processes have
to run before a single process can start
Define whether a single process has to run when the process
chain is executed or whether failures can be (temporarily) accepted
How to start – process overview
What?
How?
When?
Example on process overview
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Example on process overview
possible additional fields:
* Not always necessary, sometimes needed as of different time zones or
different source data availability in one source system
*
Collect all relevant processes in a central document
to prepare modelling of process chains
Reporting
Scenario, for example
“Sales
statistics”
Aspects of using process chain hierarchies
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Aspects of using process chain hierarchies
Complexity of a single chain (number
of processes) should be reasonable
“One process chain for everything”
approach could create (unwanted)
cross dependencies between
processes
Benefits on using process chain
hierarchies (sub chains)
Better visualization of dependencies
Enhanced administration capabilities
(e.g. Restarting of single sub chain)
Maximum number of processchain hierarchy levels: 2 – 3
(recommendation)
Common SAP BW Tasks: Process Chain Automation
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Data Load (all kinds)
ODS Object Activation
Aggregate Rollup
InfoCube Compression
DB statistics (RDBMS dependent)
Change Run
PSA Deletion
Reporting Agent: OLAP Cache
Reporting Agent: Pre-calculated
Templates
Reporting Agent: Exceptions &
Conditions
Master Data Reorganization
Local Process Chain
Common SAP BW Tasks: Process Chain Automation
Strongly Recommended Highly Recommended
Other tasks, such as export of data via
Open Hub, should be utilized as needed.
Agenda
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Agenda
Overview
Process Chains
Key Concepts
Implementation
System Monitoring
Data Management
Capacity Planning
Summary
Some Important Monitoring Tools
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Some Important Monitoring Tools
Scenario
Generally slow query or data load performance (systemic)
Look for CPU utilization bottlenecks
If adequate CPU time is available, check other factors
What can you check?
Operating system (ST06)
Database Information (DB02) Database monitor (ST04)
Analysis of BW objects (RSRV)
Performance Analysis (ST03, BW Statistic Business Content)
Computer Center Management System (BWCCMS)
Memory Management (ST02)
Monitoring Tools: Operating System Monitor (ST06)
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Monitoring Tools: Operating System Monitor (ST06)
Useful Key Figures
Current Values (snapshots) and history (previous hours)
CPU
Memory
Swap
Check following parameter values:
CPU utilization Free memory
Also check SM50 for process bottlenecks
Monitoring Tools: Database Monitor (DB02)
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Monitoring Tools: Database Monitor (DB02)
Utilization General DB Monitor
Check for missing indices
Useful Features
Missing indices
Table and Index extent growth (non-localtablespaces, RDBMS dependent)
Monitor tablespace allocation
Tools: Analysis and Repair of BW Objects (RSRV)
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Utilization
Many various analyses of InfoCubes and master data
Useful Features
Database DB statistics for an InfoCube and its aggregates
DB indices for an InfoCube and its aggregates
DB parameter settings check
DB Information about InfoProvider tables
InfoCube: Relative size of dimension tables compared to fact table
“Repair” feature
Check following parameter values:
Ensure DB statistics are up-to-date for an InfoCube Ensure indices exist for InfoCube
Check for unbalanced InfoCubes
(dimension table size 10% or more compared to fact table size)
SAP BW Reporting Performance Analysis Tools
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p g y
BW Statistics
Business Content
SAP BW Workload Analysis –
ST03
Tip: Build a monitoring cockpit using BW statistics content,
custom query and BW web applications
Monitoring Tools: ST03 - Drill Down to Query
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g y
Double Click
Highest contributor in
Total Run Time per
InfoCube
High % DB
Time
Drill down – check if there is any single query that could be the major
contributor. Where is the major contribution coming from?
Example shows an active query, high DB time, with low OLAP & front-
end time.
No of
runs
Highest
DB time
Low
Front-end
time
System-wide monitoring with BWCCMS
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The C C omputing C C enter M M anagement S S ystem
is part of SAP’s technolgy platform.
CCMS is SAP’s open, integrated
infrastructure for:
Centrally monitoring SAP landscapes
comprising:
Components based on SAP Web Application
Server, or SAP Basis Release as of 3.0 Other SAP components
Non-SAP components
Background and print processing
New with BW Release 3.52:
History data of the Central Performance
History (CPH) can be transferred to SAP BW
for efficient analysis
SAP Solution Manager: Central System Administration
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Central administration of systemsin one SAP solution
SAP Solution Manager, Central Monitoringfeature
Automated support of periodic and sporadicadministration tasks
Time savings due to central access toadministered systems
Automated logging of activities
Reporting across the whole solution
Task
Solution
Benefits
SolMan System & Solution Monitoring – Data Collection
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SAP Solution
Manager
SatelliteSystems
System Monitoring
Continous Monitoring:
Service Data Download
(SDCC)
Real-time Monitoring:
CCMS Monitoring
Infrastructure (RZ20)
SAP
EarlyWatch
Alerts
Detailed
Reporting
Solution Manager System Monitoring – Workflow
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System monitoring of core components
to detect critical situations as early as
possible
Support administrators working withnew SAP products
System monitoring and Central System
Administration complement each other
Expert monitors
directly linked in
satellite systems
Alert graphics System-related
tasks withintegrated and
automated log
Solution Manager Monitoring: Integration of 3rd-Party Tools
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SAP Solution Manager
CCMS Monitoring
Infrastructure (“RZ20)
Monitoring
Infrastructure
Solution
Landscape
Monitoring
Agent
3rd-Party
Components
Report Alerts
3
rd
-PartySystem
Management
Console
Trigger consolein case of an alert
(SAPConnect;
SNMP; XML)
Detailed Analysis
with 3rd-party tools
Solution
Monitoring
Agenda
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Overview
Process Chains
Key Concepts
Implementation
System Monitoring
Data Management
Capacity Planning
Summary
What about your Data Volume growth?
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0.00
100.00
200.00
300.00
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2 0 0 2
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2 0 0 3
DB growth:
~15 GB/month
'Without'Archiving
InitialArchiving
Reduction:
~60GB
With regular archiving
DB growth: ~7 GB/month
Allocated DB content
400.00
500.00
600.00
700.00
Expected sizewithout Archiving
Allocated DB size
Distribution of the memory costs
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“ Hard disk costs do not even represent a quarter of the memory costs “
(Giga Information Group)
“ Administrative expense for 1 Terabyte of memory are appropriate for five
to seven times more higher than the memory costs themselves “(Dataquest/Gartner)
Misc
(Purchasing,
training)
10%
Environment
(Electricity, Space)
3%
Storage-
Mangement
(Soft- & Hardware)
19%
Hard disk
23%Personel
45%
Data Aging Strategy Implementation
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Frequently read
/updated data
Very rarely
read data
Infrequently
read data
BW data
archiving
Near line
Storage
Online Database
Storage
Data aging is a strategy for managing data over time, balancing
data access requirements with TCO.
Each data aging Strategy is uniquely determined by the customer’s
data and the business value of accessing the data.
Which tools should I consider to use when?
Data Volume Minimization Strategies
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PSA Deletion: Temporary inbound data load layer,exists for recovery or reload purposes.
Retain daily loads 1 week, monthly retain 60 days
Customer example: DB growing at 450 GB/monthwithout PSA deletion, 150 GB/month with deletion
ODS Object Change Log Deletion: It’s like a PSA.
Optimize ODS Object activation performance
Caution: Do not delete if ODS Object “generates” deltafor the next level!
Data Consolidation: Eliminate redundant data
Merge data from similar data marts
Optimize aggregates
Consider carefully number of ODS Object and InfoCubelevels; aggressively archive and delete from “Data
warehouse” layer
Summarize at the InfoCube and aggregate level (RRI)
Remote Access: Use RRI, Virtual InfoProviders, UDI,etc: operational processing possibly might remain in
OLTP system
Agenda
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Overview
Process Chains
Key Concepts
Implementation
System Monitoring
Data Management
Capacity Planning
Summary
Multi-Tier Architecture & System Landscape
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Scalability via multipleapplication servers
Architecture of SAP basis system supports multi-user
environment: If number of concurrent users grows
significantly, you can add more application servers
SAP BW CPU Sizing Approach (Quicksizer)
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90%10%0%Authors &
Analysts
0%50%50%Knowledge
Workers
0%10%90%Information
Consumers
HeavyMediumEasy
Userc
ateg
ory
Analytical
Complexity
high
Analyst
Author
Information
Consumers
Knowledge
Workers
Authors &Analysts
~ 70%
~ 30%
~ 10%
Low
Assumptions and Findings:
One navigation in BW (drill-down, filter, etc.)
= ~9 dialog steps
A medium type query is1.5x the load on the
DB server as an easy query
A heavy query exerts 5 times the load on the
DB server as an easy query
Users of a specific category do not only run
queries of the corresponding category
Query Type: Distribution Assumptions
Sizing and Re-sizing: Preparing for New Project Phases
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SAP recommends to work closely with the hardware
vendors to ensure your system is sized properly
Quicksizer: SAP-delivered tool for estimating hardwaresizing requirements
Only useful in conjunction with HW vendor assistance
Estimates of concurrent user load and data volume, if obtained at project startup, may not be sufficient for futureproject phased implementations!
Recommendations: If project scope changes significantly
(in terms of expected data volume or number of concurrentusers), conduct a capacity planning session where sizingestimates are revisited
Work with business owners to get realistic user numbers
Analyze to estimate potential data volume
Use the Quicksizer in re-sizing Work with hardware vendors
Summary
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Use process chains heavily to automate and monitor critical
and important system tasks
Build process chain development into project plan, organize
effort around comprehensive BW administration strategy
Good use of available tools for system monitoring can help
ensure a smooth running system and good performance
Best practices for data management entails deleting PSA data
regularly, active capacity planning, use of archiving andconsideration of near-line storage option
Effective collaboration between technical and functional team
members is necessary for successful BW system management
Further Information
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Public Web:
http://www.sap.com > Solutions > NetWeaver
SAP Online Help:
http://help.sap.com > NetWeaver > BI
SAP Service Marketplace:
http://service.sap.com/bw
BW InfoIndex – Process Chains
BW InfoIndex – Archiving
BW InfoIndex – BW Statistics
Partner – Certified Software Partners
www.service.sap.com/education
BW360 BW Administration & Performance (5 days)
SAP Developer Network
http://www.sdn.sap.com > Business
information Warehouse
SAP Developer Network
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Look for SAP TechEd ’04 presentations and videos on
the SAP Developer Network.
Coming in December.
http://www.sdn.sap.com/
Questions?
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Q&A
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implemented by Netscape.
MaxDB is a trademark of MySQL AB, Sweden.
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Nothing herein should be construed as constituting an additional warranty.