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Run like never before Mark Brennan, VP Development, SAP Business Objects Roland Krijnen, HANA Pre Sales, SAP Business Objects 24 th May 2012

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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

[email protected]

[email protected]

© 2011 SAP AG. All rights reserved. 25

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