bw on hana - 2012
TRANSCRIPT
© 2012 SAP AG. All rights reserved. 1
SAP Business Warehousepowered by
SAP HANA
© 2012 SAP AG. All rights reserved. 2
Agenda – SAP NetWeaver BW Powered by SAP HANA
Overview
Deep Dive
Implementation
Next Steps
© 2012 SAP AG. All rights reserved. 3
?In a Perfect World ...
Cost-effective Management of Large
Data Volumes
Current and Complete Information
Immediate Answerto Any Question
??
© 2012 SAP AG. All rights reserved. 4
SAP in-memory innovations make real-time business a reality
In-Memory
Row +
Column Database
Massively Parallel
Processing
Calculation Engine
Columnar storage increases the amount of data that can be stored in limited memory
(compared to disk)
Column databases enable easier parallelization of
queries
Row database fast transactional processing
In-memory processing gives more time for
relatively slow updates to column data
In-memory allows sophisticated calculations
in real-time
MPP optimized software enables linear performance scaling
making sophisticated calculations like allocations possible
© 2012 SAP AG. All rights reserved. 5
Preconfigured Analytical ApplianceIn-Memory software + hardware(HP, IBM, Fujitsu, Cisco. Dell, Hitachi)
In-Memory Computing Engine SoftwareData Modeling and Data Management
Real-time Data Replication Services
Data Services for ETL capabilities
Capabilities EnabledAnalyze information in real-time at unprecedented speeds on large volumes of non-aggregated data
Create flexible analytic models based on real-time and historic business data
Foundation for new category of applications (e.g., planning, simulation)to significantly outperform currentapplications in category
Minimizes data duplication
SAP In-Memory Appliance (SAP HANA)Architecture
MDX SQL BICSSQL
ModelingStudio
Real–Time Replication
Services
Data Services
SAP HANASAP HANA
Other Applications SAP BusinessObjects
SAP NetWeaverBW
SAP Business Suite 3rd Party
In-Memory Computing Engine
Calculation and Planning Engine
Row & Column Storage
© 2012 SAP AG. All rights reserved. 6
Why you invested in SAP BW
Better visibility into your business
One version of the truth
Central view across the enterprise
Solid data foundation
© 2012 SAP AG. All rights reserved. 7
But challenges are on the riseTraditional RDBMS under SAP BW not keeping up with todays business climate
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SAP BW powered by HANA is thenext step for your business
IT Value Today
New Apps in 2012
Business Value Today
Next Gen Platform
© 2012 SAP AG. All rights reserved. 9
INSIGHTUnlock new insights with the most powerful analytics available
FORESIGHTDeliver precise business planning & prediction on any data at ANY level
RESPONSIVE10x faster decisions makes you more agile than the competition
SAP BW powered by HANA: BUSINESS VALUE TODAYDo more with your data. Be more responsive.
© 2012 SAP AG. All rights reserved. 10
“Enabling HANA to run under our SAP BW system is a very important milestone. We can now create key reports on shipping more timely and accurately across all of our plants. This is the kind of capability we need to drive operational excellence and become number one!”XiaoYu Liu Vice PresidentGM Global Applications DevelopmentLenovo
© 2012 SAP AG. All rights reserved. 11
AGILEEliminate constant remodeling, enable self-service BI
FASTDramatic 10x improvement in data loading and visibility into real time info
SIMPLELower cost of ownership & reduce administrative tasks with no disruption
SAP BW powered by HANA: IT VALUE TODAYEnd to End performance. Simplify your landscape.
© 2012 SAP AG. All rights reserved. 12
SAP BW powered by HANA Benchmark: 1000X better!
SAP HANA100B uncompressed rows per second100 TB Benchmark100B Sales and Distribution Records16 Node IBM X5 $640K
Data Loading: 16M per minute with 20x compressionBW Workload: 300ms - 500msAd-Hoc Analytics: 800ms to 2s
No Database Tuning, No Indexes, No Caching
VS.
Oracle“With lightening fast scan speed of up to 100 million rows/second and enhancements like support for analytical functions and up to 10x columnar compression, TimesTenfor in-memory analytics delivers faster reports & dashboards for departmental as well as enterprise wide consumption.”
© 2012 SAP AG. All rights reserved. 13
“With SAP HANA, we see a tremendous opportunity to dramatically improve our enterprise data warehouse solutions, drastically reducing data latency and improving speed when we can return query results in 45 seconds from BW on HANA vs. waiting up to 20 minutes for empty results from BW on Oracle.”Weijun ZhangIT ManagerShanghai Volkswagen
© 2012 SAP AG. All rights reserved. 14
APPSLeverage all new business apps & solutions built exclusively for HANA
BW & ERPStarting with BW on HANA today prepares your for the suite on HANA
NEXT GENLiterally hundreds of new business applications exclusive to the HANA platform are coming
SAP BW Powered by HANA: APPS TODAY & NEXT GEN PLATFORM Amazing performance. Streamline your landscape.
© 2012 SAP AG. All rights reserved. 15
SAP BPC 10 NW
SAP Finance and Controlling Accelerator
SAP Smart Meter Analytics
SAP Sales Pipeline Analysis
SAP Predictive Analytics
SAP Customer Segmentation Accelerator
SAP HANA Platform
SAP Business Warehouse
SAP BusinessObjects BI &
SAP CO-PA Accelerator
SAP B1 Analytics
Third Party Apps
SAP ERP (Q4 2012)
Today
New Cloud Apps
New Mobile Apps
SAP Planning for Retail
SAP Customer Value Intelligence
SAP Predictive Segmentation
SAP Sales & Operations Planning
SAP Account Intelligence
SAP Demand Signal Management
SAP Account Intelligence
SAP Liquidity Risk Management
SAP Customer Energy Mgmt.
SAP Trade Promotion Mgmt
Future
Exclusive content. Killer apps.
© 2012 SAP AG. All rights reserved. 16
Agenda – SAP NetWeaver BW Powered by SAP HANA
Overview
Deep Dive
Implementation
Next Steps
© 2012 SAP AG. All rights reserved. 17
Eliminate Relational DB
under BW
OS-DB Migration
In-memorycalculation &
planning
SAP NetWeaver BW
Data Modeling
HANA
Data Management
Data Storage
Analytical / PlanningEngine
DBMS
SAP NetWeaver BW
Data Modeling
Analytical / PlanningEngine
Relational Database
Data Management
Data Storage
SAP NetWeaver BW – Fully In-Memory Enabled EDW
© 2012 SAP AG. All rights reserved. 18
Database migration is done using standard SAP OS and DB migration tool
SAP BW 7.x
RDBMS
SAP BW 7.3 SP5
HANABWA
BI clients BEx Query BI clients BEx Query
Pre-requisite: SAP HANA 1.0 SPS 03
© 2012 SAP AG. All rights reserved. 19
Factors Impacting BW Report Speed
Database Access Time OLAP Computation Report
Rendering
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BWA Acceleration
Database Access Time OLAP Computation Report
Rendering
DB OLAP Computation ReportRendering
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HANA – In-Memory Acceleration for ALL Content
Database Access Time OLAP Computation Report
Rendering
DB
OLA
P ReportRendering
© 2012 SAP AG. All rights reserved. 22
Evolving In-Memory Footprint in SAP BWOverview
Planning Engine
Data Manager
InfoCubes
DataStore Objects
Analytic Engine
Data Persistency and Runtime
Data Modeling
Ent
erpr
ise
Dat
a W
areh
ouse
and
Dat
a M
art M
odel
ing
with
SA
P N
etW
eave
r B
W
Ent
erpr
ise
Dat
a W
areh
ouse
and
Dat
a M
art M
odel
ing
with
SA
P N
etW
eave
r B
W
BWA instead of aggregates
filter + aggregation
BWA-only InfoCubes
BWA reportingfor DSOs
reporting + activation for
DSOs in-memory
in-memory planning engine
first calculation scenarios in BWA
additionalcalculations in-memory
MultiProviderhandling and flexible joins
BW 7.0DB + BWA 7.0
BW 7.3DB + BWA 7.2 BW 7.3 on HANA
Data Provisioning
In-Memory optimized InfoCubes
Consumption of HANA models in
BW
HANA data forBW Staging
© 2012 SAP AG. All rights reserved. 23
SAP NW BWQuery on InfoCube,
MasterdataAnalyticIndex,
CompositeProvider
Query on DSO, BW InfoSet
SAP HANA SQL Engine Calc Engine
Aggregation Engine on In-Memory data
Superior Reporting Performance
In-memory column store
Parallel query execution (MPP)
On-the-fly aggregation & calculation
NEW HANA optimized DSO and InfoCube objects
Fully leverage HANA In-memory architecture
Faster reporting for all BW objects - InfoCube, DSONo indexes, pre-aggregation, query tuning
Fewer materialized layers, less lookup and faster queries
© 2012 SAP AG. All rights reserved. 24
Real-time Data Access
BW Schema Non-BW data
InfoCubeTransient
Info Provider
Composite Provider
Query QuerySAP BW
SAP HANA
Reporting & Analytics Tools
Replicate data in real-time into SAP HANA operational marts
Build views in HANA against operational data mart AND BW schemas
Run HANA operational mart and BW on same HANA landscape
Consume HANA Agile/Operational marts in BW
Real-time reporting in BW leveraging HANA operational data feedsSimplified IT landscape for HANA operational mart and BW on HANA
© 2012 SAP AG. All rights reserved. 25
Simulate Faster and Plan More Frequently
Reduces network I/O between App Server & DB
Reduces load on App Server
Performance boost for planning capabilities like: Aggregation, Disaggregation, for Plan/Actual analysis, …
Execute calculations & planning in-memory
Plan with larger volumes of data improving planning accuracyPlan more frequently (e.g. daily basis) improving planning speed
Plan with granular information (SKU or BOM level) improving insight
© 2012 SAP AG. All rights reserved. 26
Accelerated Planning
Traditional Approach
1. Determine the delta +50
2. Disaggregate (in appl. server)per week (52)per branch (500)26000 combinations / values
3. Send 26000 values to DB to save
HANA-Based Approach
1. Determine the delta +50
2. Send 1 value to DB + instruction to disaggregate and how
3. Disaggregate (in DB engine)per week (52)per branch (500)create + save 26000 values
user changesa plan value
© 2012 SAP AG. All rights reserved. 27
SAP runs SAPEnd to end financial planning on SAP HANA with SAP Planning and Consolidation and the planning applications kit
ChallengePlanners using their own local, offline, non-integrated tools with high TCO and high effort for data reconciliation
GoalAchieve a planning environment which is meeting both corporate and lines of business demands -an environment that is flexible, stable, reliable, scalable and efficient
SolutionImplemented an integrated corporate and de-centralized planning process with SAP Planning and Consolidation 10.0, version for SAP NetWeaver and the planning applications kit running on SAP HANA
BenefitsReal-time reporting of plan and reference data
More time spent on business analysis - less time spent on data reconciliation
© 2012 SAP AG. All rights reserved. 28
Planned innovations Future visionToday
Vision for SAP Planning and Consolidation, version for SAP NetWeaver – powered by SAP HANA
Support SAP HANA as the underlying database
Enablement of customers interested in SAP HANA to move to the new platform Performance gains with SAP HANA– Over time and with each
support package, the plan is to leverage additional functions of SAP HANA
Further enhancements with SAP HANA
Accelerated reporting with the SAP Planning and Consolidation application Automated variance analysis (AVA)
Accelerated performanceVia support packages*
Customer-driven innovations
Delivery of innovative functionality to address business needs
Further innovation of SAP Planning and Consolidation on SAP HANA
Continued leveraging of SAP HANA to improve performance for other calculation-intensive functionality– Consolidations– Logic scripts and allocations– Business rules– Driver-based planning
Near term (plan) Short term (plan) Midterm (plan)
*Planned future release, subject to change and including support and enhancement packs
Key themes, capabilities, and planned innovations
© 2012 SAP AG. All rights reserved. 29
Reduced Load Windows
Delta calculation completely integrated in HANA
No round trip between BW and database which eliminates I/O overhead
DSO activations & transformations In-memory
Speeds up data staging; DSO 5x-10x, InfoCube loading by 80%Faster to build and maintain flattened in-memory BW data objects
Avoid storage of redundant data layers
© 2012 SAP AG. All rights reserved. 30
Greater modeling flexibility
FactsD
D
MD MD
MD MD
Migration / NewFacts
MD
MD
MD
MD
F FE
In-memory optimized flattened InfoCube object
Fast data loads (no DIMIDs) up to 80% time reductionNo physical dimensions simplifies modeling and faster changes
All processes, all Queries and MultiProviders can remain unchanged
© 2012 SAP AG. All rights reserved. 31
Agenda – SAP NetWeaver BW Powered by SAP HANA
Overview
Deep Dive
Implementation
Next Steps
© 2012 SAP AG. All rights reserved. 32
Netweaver BW on HANA Solution Planning3 Clear Steps with SAP Consulting
Your path to a successful deployment of SAP NetWeaver BW powered by SAP HANA follows a 3-step process…
© 2012 SAP AG. All rights reserved. 33
Migration Strategy
Deployment Options–Full Migration–Phased Migration–Mixed EnvironmentMigration Steps
© 2012 SAP AG. All rights reserved. 34
HANA
Full Migration
Source Applications
BW 7.01
BWARDBMS
Upgrade to 7.3 SP5+
BW 7.3 SP5+
Migrate RDBMS to HANA
© 2012 SAP AG. All rights reserved. 35
Full Migration
ConsiderationsPerforms a migration of a BW system– Any in memory optimization of objects will occur after migration– By definition there is no partial migration– Standard practice
© 2012 SAP AG. All rights reserved. 36
Phased Migration
Source Applications
HANA
BW 7.3 SP5+
BWARDBMS
BW 7.x/3.5
Introduce New BW on HANA
Migrate
ContentBW 7.3 SP5+ .
Retire Old BW
© 2012 SAP AG. All rights reserved. 37
Phased Migration
Goal: Operate two instances of BW and migrate content over timePotential Benefits– Source BW may not need to be upgraded to 7.3 SP5– In Memory Optimization can be done during migration– Can optimize BW processes during migration (learning curve)– Can manage BW upgrade costs– Consider HANA Custom Data Mart Scenarios (e.g. Operational RDS)Possible Drawbacks– Need to operate multiple BW systems– Providing combined reporting across BW systems requires design– Potentially longer project duration/Becomes a mixed environment
© 2012 SAP AG. All rights reserved. 38
Mixed Environment
BWA
Source Applications
RDBMS
BW 7.x/3.5
HANA
BW 7.3 SP5+
Introduce New BW on HANA
Partial Migrate
ContentBW 7.3 SP5+ .
Retire BWA
© 2012 SAP AG. All rights reserved. 39
Mixed Environment
Goal: Operate two instances of BW PermanentlyPotential Benefits– In Memory based BW at a smaller scale.– Manage BW upgrade costsPossible Drawbacks– Need to operate multiple BW systems (though typical for many customers)– Providing combined reporting across BW systems requires some design
© 2012 SAP AG. All rights reserved. 40
Migration Strategy
SAP HANA Landscape Evolution – for reviewDeployment Options–Full Migration–Phased Migration–Mixed EnvironmentMigration Steps
© 2012 SAP AG. All rights reserved. 41
BW on HANA Solution Planning
Initial advisory design service drives more
effective projects and is tailored to individual organizational needs
• How can I most efficiently upgrade to BW 7.3?• Are there opportunities to optimize my BW
system?• Do I need to migrate my security
authorizations?
• What are some of the DB migration considerations I will need to consider?
• How do I properly size my implementation of HANA?
• Will Unicode be a factor for me?
Design your path to BW powered by HANA
Time to execute. Once to the required BW
support pack, you’re ready for BW on
HANA!BW 3.x / 7.x
System(Legacy DB/HW)
BW 7.3 (Legacy DB/HW)
BW Upgrade
Migrate to NW BW for HANAPrepare SAP NW BW for HANA
Current State BW on HANA
BW 7.3 (HANA)
Netweaver BW on HANA Solution Planning3 Clear Steps with SAP Consulting
BW 7.3 Prepare
BW on HANA Migrate
BW on HANA Core Assessment
© 2012 SAP AG. All rights reserved. 42
BW 3.x / 7.x (Legacy DB/HW)
Current State
BW 7.3 SP7(Legacy DB/HW)
BW 7.3 BW7.3 on HANA
Netweaver BW on HANA Solution Planning
BW 7.3 SP7(HANA)
BW on HANA Core Assessment
Use Case Identification
Unicode Planning
BW Technical Upgrade
BW Authorizations
BW Data Volumes
Data Flow Analysis
Technical Upgrade
Unicode Upgrade
Functional Upgrade
Authorizations
BW Data Volumes
Data Flow Conversion
BW on HANA Upgrade
HANA Readiness
BW RDBMS RDS
BW on HANAMigration
Services Portfolio
1. BW Powered by HANA Pre-defined Planning Assessment
Services Portfolio
1. BW Technical Upgrade Build 2. Unicode Conversion
3. BW Authorizations Build
4. BW Data Volume Optimization5. BW Functional Upgrade Build including In-
Memory Conversion
Services Portfolio
1. SAP HANA Install and Configuration2. SAP Rapid Deployment Solution for
BW RDBMS to HANA Migration
© 2012 SAP AG. All rights reserved. 43
5 - 25 days 10 to 139 Days 40 Days
Read
ines
s
Time EstimateMinimum Consideration: 45 Days
Maximum Consideration: 204 Days
Design your Path to BW on HANA
Prepare Netweaver BW for HANA
Run BW on HANA
Netweaver BW on HANA Solution PlanningEnd to End Time Line
© 2012 SAP AG. All rights reserved. 44
Main Landing Page – One Stop and “E2E Guide”
http://www.sdn.sap.com/irj/sdn/edw-ops http://help.sap.com/nw73bwhana#section2
© 2012 SAP AG. All rights reserved. 45
Agenda – SAP NetWeaver BW Powered by SAP HANA
Overview
Deep Dive
Implementation
Next Steps
© 2012 SAP AG. All rights reserved. 46
SAP NetWeaver BW Powered by SAP HANAValue Proposition
Supercharge BW with Dramatically Improved Performance
Simplified Administration and Streamlined Landscape
Unlock The Power of Your Data Across The Enterprise
Preserve Your BW Investment without Disruption
1
2
3
4
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BW on HANA Incentives No better time!
BWA to HANA credit
Implementation services credit
Exchange flexibility
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Deploy Now!Rapid Deployment Solutions for HANA
BW HANA CRM Analytics RDS
BPC for BW on HANA RDS
BW to HANA Migration RDS
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Sapphire
Attend Sapphire and Meet Successful Customers
Call Your SAP AE to learn more aboutBWA Conversion CreditHANA powered by BW implementation Credit
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SAP HANA