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© 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 Answer
to 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 Appliance
■ In-Memory software + hardware
(HP, IBM, Fujitsu, Cisco. Dell, Hitachi)
In-Memory Computing Engine Software
■ Data Modeling and Data Management
■ Real-time Data Replication Services
■ Data Services for ETL capabilities
Capabilities Enabled
■ Analyze 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 current
applications in category
■ Minimizes data duplication
SAP In-Memory Appliance (SAP HANA) Architecture
MDX SQL BICS SQL
Modeling
Studio
Real–Time
Replication
Services
Data
Services
SAP HANA
Other Applications SAP BusinessObjects
SAP NetWeaver
BW
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 rise
Traditional RDBMS under SAP BW not keeping up
with todays business climate
© 2012 SAP AG. All rights reserved. 8
SAP BW powered by HANA is the
next step for your business
IT Value
Today
New Apps in
2012
Business
Value Today
Next Gen
Platform
© 2012 SAP AG. All rights reserved. 9
INSIGHT Unlock new
insights with the
most powerful
analytics available
FORESIGHT Deliver precise
business planning &
prediction on any data
at ANY level
RESPONSIVE 10x faster decisions
makes you more agile
than the competition
SAP BW powered by HANA:
BUSINESS VALUE TODAY Do 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 President
GM Global Applications Development
Lenovo
© 2012 SAP AG. All rights reserved. 11
AGILE Eliminate constant
remodeling, enable
self-service BI
FAST Dramatic 10x
improvement in data
loading and visibility
into real time info
SIMPLE Lower cost of ownership
& reduce administrative
tasks with no disruption
SAP BW powered by HANA:
IT VALUE TODAY End to End performance. Simplify your landscape.
© 2012 SAP AG. All rights reserved. 12
SAP BW powered by HANA Benchmark:
1000X better!
SAP HANA 100B uncompressed rows per second 100 TB Benchmark 100B Sales and Distribution Records 16 Node IBM X5 $640K Data Loading: 16M per minute with 20x compression BW Workload: 300ms - 500ms Ad-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, TimesTen
for 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 Zhang
IT Manager
Shanghai Volkswagen
© 2012 SAP AG. All rights reserved. 14
APPS Leverage all new
business apps &
solutions built
exclusively for
HANA
BW & ERP Starting with BW on
HANA today
prepares your for
the suite on HANA
NEXT GEN Literally 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-memory
calculation &
planning
SAP NetWeaver BW
Data Modeling
HANA
Data Management
Data Storage
Analytical / Planning
Engine
DBMS
SAP NetWeaver BW
Data Modeling
Analytical / Planning
Engine
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
HANA BWA
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
© 2012 SAP AG. All rights reserved. 20
BWA Acceleration
Database Access
Time OLAP Computation
Report
Rendering
DB OLAP Computation Report
Rendering
© 2012 SAP AG. All rights reserved. 21
HANA – In-Memory Acceleration for ALL Content
Database Access
Time OLAP Computation
Report
Rendering
DB
OL
AP
Report
Rendering
© 2012 SAP AG. All rights reserved. 22
Evolving In-Memory Footprint in SAP BW Overview
Planning Engine
Data Manager
InfoCubes
DataStore Objects
Analytic Engine
Data Persistency
and Runtime
Data
Modeling
Ente
rprise D
ata
Ware
house a
nd D
ata
Ma
rt M
odelin
g w
ith S
AP
NetW
eaver
BW
BWA instead of
aggregates
filter +
aggregation
BWA-only
InfoCubes
BWA reporting
for DSOs
reporting +
activation for
DSOs in-memory
in-memory
planning engine
first calculation
scenarios in BWA
additional
calculations
in-memory
MultiProvider
handling and
flexible joins
BW 7.0
DB + BWA 7.0
BW 7.3
DB + BWA 7.2 BW 7.3 on HANA
Data Provisioning
In-Memory
optimized
InfoCubes
Consumption of
HANA models in
BW
HANA data for
BW Staging
© 2012 SAP AG. All rights reserved. 23
SAP NW BW Query on
InfoCube,
Masterdata
AnalyticIndex,
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, DSO
No 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
InfoCube Transient
Info Provider
Composite Provider
Query Query SAP 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 feeds
Simplified 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 accuracy
Plan 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 changes
a plan value
© 2012 SAP AG. All rights reserved. 27
SAP runs SAP End to end financial planning on SAP HANA with SAP Planning and Consolidation
and the planning applications kit
Challenge
Planners using their own local, offline, non-
integrated tools with high TCO and high effort for
data reconciliation
Goal
Achieve a planning environment which is meeting
both corporate and lines of business demands -
an environment that is flexible, stable, reliable,
scalable and efficient
Solution
Implemented 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
Benefits
Real-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 vision Today
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 performance
Via 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
Facts
D
D
MD MD
MD MD
Migration / New
Facts
M
D
M
D
M
D
M
D
F F E
In-memory optimized flattened InfoCube object
Fast data loads (no DIMIDs) up to 80% time reduction
No 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 Planning 3 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 Environment
Migration Steps
© 2012 SAP AG. All rights reserved. 34
HANA
Full Migration
Source Applications
BW 7.01
BWA RDBMS
Upgrade to 7.3 SP5+
BW 7.3 SP5+
Migrate RDBMS to HANA
© 2012 SAP AG. All rights reserved. 35
Full Migration
Considerations
Performs 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+
BWA RDBMS
BW 7.x/3.5
Introduce New BW on HANA
Migrate
Content
BW 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 time
Potential 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
Content
BW 7.3 SP5+ .
Retire BWA
© 2012 SAP AG. All rights reserved. 39
Mixed Environment
Goal: Operate two instances of BW Permanently
Potential Benefits
– In Memory based BW at a smaller scale.
– Manage BW upgrade costs
Possible 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 review
Deployment Options
–Full Migration
–Phased Migration
–Mixed Environment
Migration 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 HANA Prepare SAP NW BW for HANA
Current State BW on HANA
BW 7.3 (HANA)
Netweaver BW on HANA Solution Planning 3 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 HANA Migration
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 Optimization
5. BW Functional Upgrade Build including In-Memory Conversion
Services Portfolio
1. SAP HANA Install and Configuration
2. 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
Rea
din
ess
Time Estimate
Minimum 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 Planning End 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 HANA Value 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
© 2012 SAP AG. All rights reserved. 47
BW on HANA Incentives
No better time!
BWA to HANA
credit
Implementation
services credit
Exchange
flexibility
© 2012 SAP AG. All rights reserved. 48
Deploy Now! Rapid Deployment Solutions for HANA
BW HANA CRM
Analytics RDS
BPC for BW on
HANA RDS
BW to HANA
Migration RDS
© 2012 SAP AG. All rights reserved. 49
Sapphire
Attend Sapphire and Meet Successful Customers
Call Your SAP AE to learn more about BWA Conversion Credit
HANA powered by BW implementation Credit