The future holds many transformational opportunities. Capitalize on the new technology frontier and realize value previously unattainable with SAP HANA. Learn how SAP and AWS are collaborating to empower businesses, developers, startups and even sports fans to take advantage real time computing in the cloud.
SAP and AWS experts will outline: • How do SAP and AWS align to support your cloud strategy, large or small? • What is SAP HANA and how does it enable you to run your business in real-time? • Use cases for developers and enterprise; and capabilities including analytics, business processes, sentiment data processing, and predictive. • How to get immediate value by deploying SAP HANA on the AWS cloud computing platform. • Best practices and reference guides to help you. • Customer success stories, including the Women’s Tennis Association (WTA).
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runs in customer’s own datacentreSAP development & quality
assurance landscape runs on AWS
SAP HANA
Appliance(s)
HANA
DB
SAP HANA System
Replication (Async)
Customer
Data Centers
VPN or
Direct Connect
Secure
connectivity
between
datacentre & AWS
Virtual Private Cloud
Hybrid HANA Deployment – Customer Data Centre & AWS
DEV QAS
ECC
BW
ECC
BWBW
ECC
SRM
PRD
SAP production landscape runs in
customer’s own datacentreSAP development & quality
assurance landscape runs on AWS
SAP HANA
Appliance(s)
HANA
DB
HANA
DB
Virtual Private Cloud
Full SAP HANA Deployment on AWS
DEV QAS
Customer runs DEV, QAS, & PRD on AWS
PRD
VPN or
Direct Connect
Secure
connectivity
between LAN &
AWS network
Customer
LAN
ECC
BW
ECC
BW
HANA
DB
HANA
DB
ECC
BW
HANA
DB
Virtual Private Cloud
SAP HANA for Big Data Analytics
VPN or
Direct Connect
Secure
connectivity
between LAN &
AWS network
Customer
LAN
ECC
BWBW
HANA
DB
SAP
BI
Amazon EMR
+
SAP HANA Scalability Test for
SAP BW Using In-Memory Data Fabric
111 SAP HANA Instances
(1,776 CPU Cores)
8M Rows loaded per second
(60 Billion Total)
220ms single node query
(600 Million Rows)
330ms for federated query
(60 Billion rows)
Throughput of 3 million queries
per hourAdditional Details: http://bit.ly/scale-hana-aws
Deployment of SAP HANA on AWS
10 Regions*
26 Availability Zones*
51 Edge Locations
* China (Beijing) Region-
EC2 Availability Zones: 1 Coming Soon
Global Infrastructure
Amazon EC2 Cluster Compute Instances for SAP HANA
2 x Intel Xeon E5-2680 v2 processors (Ivy Bridge)
32 vCPUs with hyperthreading
64-bit
60 GB RAM
10 Gigabit Network
Enhanced Networking
2 x Intel Xeon E5-2670 processors (Sandy Bridge)
32 vCPUs with hyperthreading
64-bit
244 GB RAM
10 Gigabit Network
NUMA and Turbo Support
c3.8xlarge cr1.8xlarge
2 x Intel Xeon E5-2670 v2 processors (Ivy Bridge)
32 vCPUs with hyperthreading
64-bit
244 GB RAM
10 Gigabit Network
NUMA and Turbo Support
Enhanced Networking
r3.8xlarge
HANA One SAP HANA Infrastructure Subscription
SAP HANA Deployment Methods
AWS Global Infrastructure
AWS QuickstartAWS Marketplace
SAP Cloud Appliance
Library
AWS API’s
AWS CloudFormation
Developer Edition / Trials BYOL (Multi-Node)HANA One
SAP HANA Marketplace
SAP
HANA
Wrap Up
SAP and Women’s Tennis Association (WTA)Solution Overview
Court
Cameras
Umpires
Player
Data
Journalists
Players &
Coaches
Fans
SAP WTA
Player
Analytics
Powered by SAP HANA
Data Sources Mobile Apps
SAP HANA One
SAP Data Services
SAP BusinessObjects BI
Kellogg Uses AWS to Save $900,000 over 5 Years Over Using On-
premises Infrastructure
Kellogg produces breakfast foods for more than 180
companies worldwide, with annual revenue of almost $15 B.
Using AWS saves us
$900,000 in infrastructure
costs alone, and lets us run
dozens of simulations a day
so we can reduce trade
spend. It’s a win-win.
• Needed a better way to track and model promotional
costs (“trade spend”) to improve the bottom line—and
needed to be able to run more than 1 trade-spend
simulation/day
• Running SAP Accelerated Trade Promotion Planning
(TPM) – Powered by SAP HANA
• By using SAP HANA on AWS, Kellogg estimates it
will save $900,000 over 5 years versus traditional on-
premises infrastructure alternatives
• Increased business agility: Company can run dozens
of trade spend simulations each day, and decreases
deployment time by 30x
• Leveraged existing SAP HANA software license
investment on AWS
• Familiarity and Accessibility of the AWS platform
enabled engineers to easily apply their existing
knowledge and infrastructure skills
Stover McIlwain
Senior Director of IT Infrastructure Engineering
”
“
“ ”
Mantis Technology Group – InternetSoftware solution provider specializing in enterprise custom services for online retailers & high transaction volume provision systems
Product: Pulse Analytics – Social Media Analytics By SAP HANA One (Cloud)
Business Challenges/ Objectives
Offer rapid analysis of social media channels to track consumers and influencers
and measure brand against industry metrics
Scale its social media analytics service offering to handle ever increasing volumes
of data cost-effectively
Technical Challenges
Reduce cost of managing cluster of 18 Text Analysis XI and 3 MySQL servers
Analyze large volumes of social media data – more than 1M documents daily
up to 4M
Reduce the ETL load times to deliver real-time analysis
Benefits
Faster SAP HANA’s native Text Analysis and sentiment analysis with topic
identification
New real-time analytical capabilities allow for visual presentation of data that is
free from previous performance-based constraints
Data Architecture simplification by replacing 20+ separate servers with 1 instance
of SAP HANA One
Significant
Simplification of Data Architecture
Moved from 23
servers to 1 Hana
One server
99% fasterSignificantly
reduced ETL Load
time
6x fasterText analysis
processing
“We can get close to an order of magnitude improvement in performance, additional headroom, access to new practical
capabilities (as a result of the performance improvements) AND… still save money!”
Doug Turner, CEO of Mantis Technology Group
Technical Implementation
• 1. Key SAP HANA features
• SAP HANA One: In-memory processing in the
cloud
• Native text analysis functionality in SAP HANA for
full-text indexing, fuzzy search and sentiment
analysis
• Automatic Data Indexing Capabilities
• Join Data on all dimensions as it is created
• Fuzzy Search for advanced clustering of similar
mentions
• On-premise capabilities
• 2. Technical KPIs
• Significantly reduced ETL data load
• 6x increase in query speed
• Simplification of data architecture
• 3. Implemented by Mantis Technology
Group
4. Partners
• Data Center provided by Amazon
SAP HANA Platform
• Architecture Diagram
5. Next Steps
Go-live on SAP HANA One by SAPPHIRE
Text Analysis
So
cia
l Se
ntim
ent A
na
lysis
So
cia
l Se
ntim
ent A
na
lysis
Social Media
Channels
ETL
ProcessData
Mart
Collection
DB
Text
Analysis
Previous Architecture Diagram
HANA Architecture Diagram
Social Media
Channels
“We gather huge amounts of data from the field every second. For us, Business Intelligence is not about yesterdays or last week report,
it's about NOW… In our industry' it's hard to attract and retain highly qualified dedicated employees. Our highly advanced mobile
applications grant the truck driver sense of pride. They feel they contribute to our service mantra in a visible way. They do not perceive
themselves as "blue-collar workers" anymore.“
Dror Katz, Katz Logistics CEO
“ ”
Mobideo – Professional ServiceFirst startup to bring productive customer to SAP HANA One
Product: Provides real time analysis using Joint Solution by Mobideo and SAP
HANA ONE
Business Challenges/ Objectives
Deploy easy access to information in real-time
Ensure the compliance with protocols
Deploy the monitoring and alerts for effective management
Technical Challenges
The current systems have limited ability to provide granular visibility
Provides solution that capture and available analysis in real time.
Benefits
Main cases: Katz Group (logistic Industry) and Radwin (Telecommunications)
Improve providing real time visualization and dashboards for yours customer´s
managers.
Significant Improves on the operation management through real time monitoring
and smart alerts possible by integration with SAP HANA and local devices.
Provides the most granular level of the visibility, compliance and adaptability