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SAP Business Warehouse powered by SAP HANA
Joydeep Das, Vice President, SAP HANA Product Management, SAP
SAP HANA CIO Innovation Forum September 12, 2013 • New York
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 2
14000+ Customers
VAST MAJORITY: CENTRAL EDW, HARMONIZING MANY SOURCE SYSTEMS
EMBEDDED INTO MISSION CRITICAL BUSINESS PROCESSES
200 New Installations/Month
3100+ BW 7.3 Customers
SAMPLE REFERENCE CUSTOMERS:
SAP NetWeaver Business Warehouse (BW)
Overview
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 3
SAP NetWeaver BW 7.3 Powered by SAP HANA
Business and IT Benefits
Speed and Accelerated performance
Excellent query performance => Improved decision making
Data load process speed up => Quick access to latest data
Accelerated In-Memory planning => Much faster planning scenarios
New Business Insights
Self-Service BI, Data modeling => Flexibility, agility to users
Combine EDW with HANA-native data => Better insights and decisions
Streamline landscape and simplify data management
Non-disruptive DB Migration => Quick time to value
No aggregates, indexes, rollups => Reduced complexity and administration
No user retraining, retain security setup => Leverage existing investment
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 4
SAP NetWeaver BW 7.3 Powered by SAP HANA
300+ customers with 60+ in production
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 5
Project Scope
and Business
Scenario
One of the largest privately held oil and gas company in the world. They implemented a
BW on HANA pilot system running next to their production BW on Oracle system. They are
feeding delta loads from their production ECC to both BW on Oracle and BW on HANA.
Performance and
Scale Benefits
DSO: Loaded 1 million+ rows of delta data from ECC into biggest DSO (FI-GL line item)
with 1 billion rows of active data. On Oracle, the activation took 588 seconds. With BW on
HANA, the activation took 14 seconds. 42x performance improvement.
InfoCubes: 14 million rows of data into InfoCube for Lease Operations took 37 minutes in
BW on Oracle and only 12 minutes in in-memory optimized InfoCube in BW on HANA. 3x
performance improvement.
Compression: The Lease Operations InfoCube was 64.7 GB in BW on Oracle. The same
InfoCube in BW on HANA occupied 19.3 GB. 3x better compression
Customer
Quote
“I am able to access the lowest level of detail in our General Ledger DSO and the
performance is incredible. Using the intuitive, Excel-based Analysis Office Interface I can
navigate through 1 billion records in 10 seconds or less per navigation.”
SAP NetWeaver BW 7.3 Powered by SAP HANA
Merit Energy company – business and IT benefits
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 6
• Optimize Power Procurement through demand/consumption analysis
• Improved Sales Planning through better understanding of customer behavior
• Accelerate Sales by targeting new offers for customers
• Improved Sales Planning by enabling POS analytics for sales, marketing & ops
• Reduce Stock-Outs through improved inventory visibility
• Reduce Operational Expenses by enabling real-time shipping fee calculations
• 50% Reduction in Inventory
• Improved Sales Planning – Track sales against targets on demand
• Improved Cash Flow by lowering Carrying Costs
SAP NetWeaver BW 7.3 Powered by SAP HANA
More snapshots of business benefits
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 7
MIGRATION WITHOUT REIMPLEMENTATION – NO DISRUPTION OF EXISTING SCENARIOS
SAP HANA-optimized DataStore Objects and InfoCubes
SAP HANA In-Memory platform
In-Memory planning engine
Consumption of HANA artifacts created via HANA studio
BW staging from HANA
The reporting UI is not affected
SAP NetWeaver 7.3 BW on HANA
BW Data Modeling
Planning
Data Management
OLAP
Pro
ce
ss
Ma
nag
em
en
t
HANA
Push Down
Standard DataStore Objects
DB server and SAP NetWeaver BWA
Standard InfoCubes
BW Integrated Planning
HANA Data Marts running side-by-side BW
RDBMS
SAP NetWeaver BW on RDBMS
Data Modeling
Planning
Data Management
OLAP
Pro
ce
ss
Ma
nag
em
en
t
SAP NetWeaver BW 7.3 Powered by SAP HANA
Why is it better?
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 8
Tables/partitions in SAP HANA can be marked as “non active”
Such tables/partitions are …
– loaded into RAM only when accessed
– loaded into RAM in case of read access (column-wise) and processed as
usual (same speed and functionality)
– loaded to RAM for merge process
(if new data was written and delta reaches limit)
– displaced from RAM with highest priority in case of RAM shortage
(but only then) or when actively a cleanup is triggered
BW automatically marks all PSA tables and all write-optimized DSO tables as
“not-active”, no extra maintenance or tuning is necessary
Data Stores (RAM)
Persistence
Layer
SAP NetWeaver BW 7.3, SP8 Highlights “Non Active” data concept - providing lower TCO by optimized RAM sizing
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 9
Optimized RAM Sizing
• “Non active” data concept has substantial
impact on SAP NetWeaver BW on SAP
HANA RAM sizing
• Assumption: only ~ 20% of “not active” tables
are required in memory, rest resides on disk
only.
• ABAP Sizing Report (note 1736976) for SAP
NW BW on HANA will take “not active” data
into account
Examples of
Customer Savings 32% 37% 28%
SAP NetWeaver BW 7.3, SP8 Highlights
“Non Active” data concept - reduces RAM sizing, thereby reducing TCO
0
500
1000
1500
2000
2500
3000
GB RAM Size without “non active” data consideration
GB RAM Size with “non active” data consideration
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 10
PERFORMANCE DATA VOLUME
• Data is read and/or written frequently
• In memory
• No restrictions, all features available
• Infrequent access
• On disk, no need to keep in memory all the time
• No restrictions, all features available
• Sporadic access
• Not stored in HANA DB; stored in Near-line Storage
• Restricted to NLS capabilities
Non-Active Data Concept
Hot
Warm
Cold
SAP NetWeaver BW 7.3, SP8 Highlights Multi temperature data - providing lower TCO by optimized RAM management
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 11
Next generation of an NLS solution
for BW powered via HANA
Data Aging strategy
Capabilities for reporting, ETL, and look-ups
Great query performance for all data without
administrative overhead
Reduced backup and disaster recovery efforts
Supported for HANA and RDBMS
SAP HANA BW
NL
S I
nte
rfac
e
Very frequent Frequent Rarely
SAP NetWeaver BW 7.3, SP9 Highlights
Near Line Storage with SAP Sybase IQ
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 12
BW:
- SAP Extractors
- Data Services
- SLT
Native HANA:
- SAP Extractors (DXC)
- Data Services
- SLT
BW InfoProvider consumption in HANA
HANA model consumption in BW
HANA data staged into BW
BW data provisioning for HANA
Analytic Views
Consumption
SAP NetWeaver BW 7.3, SP8 Highlights
Mixed scenarios
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 13
SAP NetWeaver BW 7.3 Powered by SAP HANA Accelerate move to SAP HANA environment with Rapid Deployment Service Packages
Planning Assessment for SAP HANA
• BW version
• # of objects
• Size of the database
• Unicode readiness
• Authorizations readiness
• Data flows readiness
• Legacy RDBMS
• Level of customization
• # of SAP and non-SAP data sources
• …..
RDS Service Package
BW Database Migration
• Unicode Conversion*
BW functional upgrade
• BW Authorization Migration*
BW Technical upgrade
Installation of SAP HANA
BW Data Volume Optimization
RDS Configuration
• Project plan
• Efforts
• Economical estimate
• Deliverables
• Delivery model
• Resources
• Architecture
• …
Based on the results of the Planning Assessment for SAP HANA the customer relevant services are determined and scoped, in
order to provide an end-to-end RDS Service Package. Depending on the specific services needed the RDS Service Package
will be sized.
*in this example Unicode Conversion and
BW Authorization Migration are not needed
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 14
Business benefits from BW in-memory are driven by
• Faster cycle times for planning for more responsive action
• Improved reporting performance and the impact on operations
• Deeper/broader data analysis for better decision making
BW on HANA extends analytics to enable a new culture of intelligence
• Drive more user analysis with less IT intervention
• Scale analytics across more individuals and user types
• Enable ad hoc analysis without compromising enterprise capacity
BW on HANA provides a kick-start for IT modernization
• Leverage existing BW investments without process redesign or app. reimplementation
• Speed transition to in-memory applications with your consolidated data foundation
• Leverage Enterprise data management disciplines to manage new data types & sources
SAP NetWeaver BW 7.3 Powered by SAP HANA
Speeds operational responsiveness and enhances analysis
© 2013 SAP AG or an SAP affiliate company. All rights reserved. 15
Hear directly from SAP
BW/HANA customers
BW on HANA cookbook –
learn how it works
Blogs from experts on BW
HANA key topics
SAP NetWeaver BW 7.3 Powered by SAP HANA
LEARN MORE – EXPERIENCE SAPHANA.COM
© 2013 SAP AG or an SAP affiliate company. All rights reserved.
Thank You
Joydeep Das E: [email protected]