understand the power of sap in-memory computing...a new sap solution to optimize meeting long-term...
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Understand the Power of
SAP In-Memory ComputingJake Klein, SVP of Product Management, SAP
May 17, 2011
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© 2011 SAP AG. All rights reserved. 2
In-memory computing – innovation creates opportunity
HW technology innovations
64 bit address space – 2 TB in current servers
100 GB/s data throughput
Dramatic decline in
price/performance
Multicore architecture (8 x 8 core CPU per blade)
Massive parallel scaling with many
blades
One blade ~$50,000 = 1 enterprise
class server
Row and column store
Compression
Partitioning
No aggregate tables
Insert only on delta
SAP SW technology innovations
Convergence of improved hardware economics and technology innovations enables SAP to
deliver on its vision of the real-time enterprise with in-memory business applications
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© 2011 SAP AG. All rights reserved. 3
SAP In-Memory Appliance (SAP HANA)
SAP HANA
SAPBusiness
Suite
SAP NetWeaver
Business
Warehouse
Other data
sources
Real-time
copy
Batch bulk
uploads
SAP HANA
modeling
SAP BusinessObjects
tools
Other query
tools
What is SAP HANA? An appliance for processing high volumes of
transactional data in real time
Includes tools for data modeling, data and lifecycle
management, security, operations, and so forth
Provides support for multiple interfaces based on
industry standards
Benefits Get fast, flexible, and detailed data to answer any
question
Enable business users to quickly create flexible analytic
models
Reuse existing analytical tools to create insightful
dashboards and reports
Reduce IT complexity
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© 2011 SAP AG. All rights reserved. 4
DB and BWA* merging in one instance for
lower TCO
Simplified administration via one set of admin
tools e.g. for data recovery and high availability
Reduced materialized layers – Info cube as an
aggregation layer on top of EDW layers obsolete
Improved load performance for DSOs via built
in DSO activation process
Excellent query performance as proven with
BWA
Accelerated in-memory planning functions
Migration without reimplementation – No
disruption of existing scenarios
(*) Migrating to further SAP HANA releases is optional
SAP NetWeaver
BW
RDBMS
SAP NetWeaver
BW
SAP HANA
BWA*
Highlights for SAP NetWeaver BW on In-Memory Platform
*BWA = SAP NetWeaver Business Warehouse Accelerator software
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© 2011 SAP AG. All rights reserved. 5
Video testimonial from SAP HANA customer
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© 2011 SAP AG. All rights reserved. 6
In-memory applications
• SAP NetWeaver Business Warehouse on
SAP HANA
• SAP BusinessObjects Strategic Workforce
Planning
• SAP Dynamic Invoice Discounting
• SAP Trade Promotion Management
• Sales and operations planning
• Smart meter analytics
• Dynamic cash management
• Profitability analysis accelerator for SAP ERP
(CO-PA)
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© 2011 SAP AG. All rights reserved. 7
Smart meter analyticsAdvanced by SAP In-Memory Computing
Description
A new SAP application, advanced by SAP In-Memory Computing,
that can provide real-time insights on the large volumes of smart
meter data and enable new ways of serving customers
Current situation
Utilities around the world are deploying smart meters to millions of
homes and businesses. These devices generate data every 15-30
minutes, resulting in large volumes of data for the utilities companies
and a major opportunity to translate this data into critical insights and
business drivers.
Value proposition
SAP In-Memory Computing can help enable significant cost savings
and new business models (e.g., usage-based pricing) based on real-
time information and execution, while helping customers save energy
and becoming more sustainable.
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© 2011 SAP AG. All rights reserved. 8
Sales and operations planningAdvanced by SAP In-Memory Computing
Description
A new SAP solution to optimize meeting long-term future product
demand in profitable manner
Current situation
Spreadsheet or other solutions rely on aggregated data and lack
calculation speed and precision.
Value proposition
Real-time profitability of sales and marketing plans aligned with
supply chain assumptions up to 4-5 years into the future.
Interactive what-if scenarios on full S&OP model. Alerts in social
networking platform instantly identifying S&OP issues across
billions of records.
Outcome opportunity
Better, faster company-wide revenue and profit visibility. Plan for
risks and opportunities via real-time scenarios. Accelerate S&OP
process from weeks to days.
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© 2011 SAP AG. All rights reserved. 9
1,500x improvements in reporting speed
Significant decrease in operating costsProvides on-demand
clinical trial solutions,
seeking to provide
investigative analytics
that span evolving
requirements and data
sources
In-memory technology reduced clinical trial reporting time
from 47 minutes to less than 2 seconds
Medidata runs 46% of worldwide SaaS-based clinical trials
Customer adoptionLeading customers are experiencing compelling benefits
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© 2011 SAP AG. All rights reserved. 10
Video testimonial from SAP HANA customer
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© 2011 SAP AG. All rights reserved. 11
What’s next?
Experience
it for yourself in the
SAPPHIRE NOW
test-drive area
Ask
your account team
to schedule an
executive briefing
Plan
your in-memory
computing adoption
road map with SAP
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Thank you!
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© 2011 SAP AG. All rights reserved. 13
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