Run like never before
Mark Brennan, VP Development, SAP Business Objects
Roland Krijnen, HANA Pre Sales, SAP Business Objects
24th May 2012
Gain Value from Big Data Mark Brennan, VP Development, SAP Business Objects
Roland Krijnen, HANA Pre Sales, SAP Business Objects
24th May 2012
© 2011 SAP AG. All rights reserved. 4 © SAP 2007 / Page 4 © SAP 2007 / Page 4 © SAP 2007 / Page 4
SAP Group Ireland
SAP Business One
Multilingual Support
SAP Cloud Support ByDesign SuccessFactors Sales On-Demand
Customer Interaction Center
Inbound/outbound support planning
Global License Auditing
SLS Translations
Knowledge Management
Partner Services Delivery
Knowledge Productisation
Services (KPS)
Active Global
Support (AGS) Primary Support
Remote Service Delivery
Solution Support (CoE)
Support Advisory Centre
IT Shared Service
IT services and support to
internal SAP employees
Production Unit
Product Integration Testing
Inside Sales UKI
Pre-Sales (POC) HANA
Mobile
Business Objects
Research & Development
Maintenance Sales
Inside Sales
Financial Shared Services
Languages covered by Galway operation include: English German Russian French Spanish Czech Portuguese Dutch Polish Italian Danish Hungarian Swedish Finnish Greek Norwegian Flemish Swiss Philippino Chinese Arabic
© 2011 SAP AG. All rights reserved. 5
SAP Ireland: Development Activities
AppHaus
Next generation "office‖ created for SAP
Business Objects designers, solutions
architects and developers to create
technologies that are desirable to users
Inspired by best practices in Silicon Valley
with a Design Thinking mind-set
Promotes collaboration, fosters creativity
and provides the flexibility to adjust to
changing needs
Activities
On demand analytic applications, mobile apps,
built on HANA delivered in 90-day cycles
Operational BI – provides real time insight into
your business, management by exception, real
time updates to dashboards, reports and alerts
e.g. Fraud detection
Research & Development is focused on
accelerating the business impact of SAP Group’s
Research Portfolio e.g BI for SAP Precision
Retailing
Mastering Big Data to Gain Insight
Never Seen Before in Real-Time
© 2011 SAP AG. All rights reserved. 7
Your Business Environment is Constantly Changing…
Major trends are elevating the strategic importance of data
Dynamic market is driving business
Businesses need information now
Customers expect answers immediately
New business opportunities are needed to compete
Global pressure on margins
New interactions are driving a data explosion
Facebook > 800M users with 30B piece of content
YouTube > 48 hours of video uploaded / minute
Mobile phones 5B mobile phones in use
30M network sensors with 30% yearly growth
Technical innovation is driving IT
Store large volumes of data on low cost storage
Mine large data volumes with new programming models
Process data faster with low-cost MEM and CPU (In
memory computing)
© 2011 SAP AG. All rights reserved. 8
… And Big Data is Driving Analytics
Opportunity to gain insight never seen before
Verticals
Banking, Capital Markets
Telecom
Consumer Product Goods
Retail
Government
Healthcare
Information Providers
Functional
• Marketing Analytics Digital channels Track visits, discover best channel mix:
email, social media, search
• Sales Analytics Deep correlations Predict risks based on deal DNA (emails,
meetings) pattern match
• Operational Analytics Atomic machine data Analyze RFIDs, weblogs, SMS, sensors
— continuous operational inefficiency
• Predictive Analytics Detailed simulations Liquidity, portfolio simulations —
Stress tests, error margins
BIG DATA ANALYTICS
What is Big Data?
How is impacting your business?
© 2011 SAP AG. All rights reserved. 10
Big Data Offers New Opportunities
Gain real-time insight from large volumes of a variety of data
Data
Vo
lum
e
Customer
Data
Automobiles
Machine Data
Smart Meter
7.9 Zettabytes
! Point of Sale
Mobile
Structured Data
Click Stream
Social
Network
Location-
based Data
Text Data
IMHO, it’s great!
RFID
1 Terabyte = 1024 Gigabytes
1 Petabyte = 1024 Terabytes
1 Exabyte = 1024 Petabytes
1 Zettabyte = 1024 Exabytes Future 2015 2011
Large volumes (petabyte is normal)
Fast collection, processing and consumption
Multiple data formats
Competitive differentiator for business
1.8
Zettabytes
© 2011 SAP AG. All rights reserved. 11
The Data Warehouse Institute
―...prediction provides the most business value‖
SAP Real-Time Data Platform
Store and process large volumes
of a variety of data for real-time
business
© 2011 SAP AG. All rights reserved. 13
SAP HANA
High-Performance Application Appliance
(aka High Performance Analytical Appliance)
SAP’s strategic high-performance platform
for all analytical and transactional applications
(including but not limited to SAP BW and
SAP Business Suite)
© 2011 SAP AG. All rights reserved. 14 Public
RDBMS limits
Performance drops off with larger and larger data
– Disk bound
– Not designed for massive parallelism
– Scaling brings complexity
– Maintenance
Database vs Application server
– Mismatch
– Movement of data
© 2011 SAP AG. All rights reserved. 15 Public
Combination of Five Fundamental Principles
• Everything is “in-memory”
• Full leverage of hardware through appliance approach
• Massive parallel processing
• Columnar store
• Push down of business logic close to the data
© 2011 SAP AG. All rights reserved. 16
SAP HANA
In-memory platform for real-time business
Analyze data in memory
at unprecedented speed
Run multiple queries in parallel at
lighting speed
Accelerate business processes
with rapid analysis
Develop predictive models
to anticipate business needs
Reduce TCO with less hardware,
maintenance, and testing
SAP HANA
SAP BusinessObjects Other Reporting Tools
SAP Applications Non SAP Data
Sources
SAP HANA Studio
SAP HANA Database
Calculation and
Planning Engine
Row & Column
Storage
Real-Time Data
Replication (SLT)
SAP Data
Services
© 2011 SAP AG. All rights reserved. 17
SAP Big Data Processing Framework Architectural View
SAP BusinessObjects BI solutions
SAP Mobile Applications, Sybase Unwired Platform(Cloud)
Transaction
Processing
DB Engine
In-memory
Computing Engine
DB Engine
Analytic
Grid
DB Engine
MapReduce
Batch Compute Framework
Ing
est
Sto
re
Pro
cess
Pre
sen
t
Sybase Replication Server, SAP BusinessObjects Data Services (Integrate / synchronize data across deployment options)
Sybase ESP
Stream & event
processing
SAP Big Data Processing Framework
SAP HANA Sybase IQ
Sybase ESP Monitor / filter
streaming events
Semi-structured Data Structured Data Unstructured Data
Hadoop Sybase ASE
Hive/HDFS
SAP Business Suite, SAP BW, SAP Applications (Premise/Cloud)
© 2011 SAP AG. All rights reserved. 18
SAP HANA
In-Memory Predictive Analytics
Predictive Analysis Library (PAL)
Native predictive algorithms
In-database processing for powerful and fast results
Quicker implementations
Support for K-Means, K-Nearest Neighbor, C4.5 Decision Tree, Multiple Linear Regression, Apriori, ABC Classification, Weighted Score Tables
R Integration for SAP HANA
Enables the use of the R open source environment (> 3,500 packages) in the context of the SAP HANA in-memory database
R integration enabled via high performing parallelized connection
R script is embedded within SAP HANA SQL Script
Combine the depth and power of in-memory analytics within SAP HANA with the
breadth of R to support a variety of advanced analytic and predictive scenarios
Y
X Z
© 2011 SAP AG. All rights reserved. 19
SAP HANA
Sample query performance
Before SAP HANA With SAP HANA
13 seconds
77 minutes
Please refer to the latest HANA Hardware sizing for the latest certified hardware sizes for maximum storage size on HANA 1.0.
Above tests were done in the SAP Lab with customer data-sets.
Runs
355x
faster 0.04 seconds
analysis response time
70 retailers
460 billion records
50 terabytes of data
© 2011 SAP AG. All rights reserved. 20
SAP HANA
SAP NetWeaver BW Powered by SAP HANA Supercharged BW Applications
SAP NetWeaver
BW SAP ERP
RDBMS
ETL
Non SAP
Data sources
SAP
Applications
In-Memory database used
as primary persistence data
layer for BW
BW manages the analytic
metadata and the EDW
data provisioning
processes
Detailed transactional data
replicated from applications
for all processes
SAP
BusinessObjects
BI
© 2011 SAP AG. All rights reserved. 21
SAP NetWeaver BW Powered by SAP HANA
Feedback from early customers
100x Faster
Reporting
15x Faster Data
Loading
20% Reduction in Admin &
Maintenance FTE Estimated by customer. Customer plans on re-deploying FTEs to BI projects
Why SAP?
© 2011 SAP AG. All rights reserved. 23
Why SAP?
The best choice for mastering big data
Flexible, open real-time data platform that enables
to transact and analyze data simultaneously to enable
real-time business
Exceptional operational and analytical processing
performance with SAP HANA, SAP NetWeaver on
HANA, or SAP Sybase IQ
Real-time operational insight of changing events
with SAP BusinessObjects Event Insight Processor
Integrated with Hadoop via SAP Data Services,
enabling extraction, text analysis, and data quality
rapid bulk loading of unstructured data
Powerful predictive analysis with support for R
language & SAP BusinessObjects Predictive Analysis
Seamless user experience of Big Data analysis
with SAP BusinessObjects Business Intelligence tools
© 2011 SAP AG. All rights reserved. 24
THANK YOU
© 2011 SAP AG. All rights reserved. 25
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