Reality #1: Information Explosion

CRM Data

COPA Data

GP

S

Demand Planning

Spee

d

Velocity

Transactions

Opport

unitie

s

Se

rvic

e C

alls

Customer

Sales Orders

Inventory

Em

ails

Tw

eets

Planning

Things

Mobile In

sta

nt M

essa

ge

s

SAP AG 2012

Reality #2: Consumerization of IT

SAP AG 2012

Expectation to make decisions in

real time, at moments of risk and

opportunity

Customers expect business

experience to be as satisfying

as personal experience

People expect instant, correct

answers to any question

Reality #3: IT Cannot Deliver

Cost-effective

Management of Large

Data Volumes

Current and Complete

Information

Immediate Answer

to Any Question

SAP AG 2012

Your Reality with SAP HANA

Groundbreaking

In-Memory

Innovations

3500x Faster

Analytics

Real-Time Access to

Transactional Data

Scale

Speed

Flexibility

SAP AG 2012

SAP In-Memory Appliance (SAP HANA)

SAP BusinessObjects

BI Solutions

Other

Applications

SAP HANA

SAP HANA

Studio

SAP

Information

Composer

SAP HANA Database

Calculation

Engine

Row & Column

In-Memory

Real-Time Data

Replication

SAP

BusinessObjects

Data Services

SAP Applications Non SAP Data

sources

SAP HANA

In-Memory software + hardware

(HP, IBM, Fujitsu, Cisco, Dell)

Data Modeling and Data Management

Real-time Data Replication

SAP BusinessObjects Data Services for

ETL capabilities from SAP Business Suite,

SAP NetWeaver Business Warehouse

(SAP NetWeaver BW), and 3rd Party Systems

Capabilities Enabled

Analyze information in real-time at

unprecedented speeds on large volumes

of non-aggregated data

Create flexible analytic models based on

real-time and historic business data

Foundation for new category of applications

(e.g., planning, simulation) to significantly

outperform current applications in category

Minimize data duplication

SAP AG 2012

SAP HANA Proof Points

460B 21% 3600x

SAP AG 2012

Data records analyzed in

less than a second

Average increase

in revenue

Faster reporting

speed

HARDWARE INNOVATIONS

Multicore CPUs

10 Cores / CPU

Multi-CPU Boards

8 CUPs / Board

Multi Server Board

x Boards

Massive Memory setups

2 TB/Server

New to SAP HANA

Appliance 1.0

SPS03

SAP AG 2012

Improvements in technology

SAP AG 2012

UNDERSTAND Columnar Data Storage

Customer Country Product Amount

100 DE 1 100

100 DE 1 110

200 US 1 120

300 US 2 130

Tuple 1

Tuple 2

Tuple 3

Tuple 4

Column

1

Column

2

Column

3

Column

4

SAP AG 2012

Fast SW side optimization for memory

Conventional databases store records in rows

Storing data in columns enables faster in-memory processing

of operations such as aggregates

Columnar layout supports sequential memory access

A simple aggregate can be processed in one linear scan

Massive Parallel Processing possible per column as well

A 10 B 35 $ C 2 D 40 E 12 $

A B C D E 10 35 2 40 12 $ $

memory address

organize by row

organize by column

A 10

B 35 $

C 2

D 40

E 12 $

conceptual view

mapping to memory

AVOID BOTTLENECKS DATA TRANSFER

Classical Approach

SAP AG 2012

SAP BW powered by HANA

SAP AG 2012

SAP BW powered by HANA

SAP AG 2012

SAP BW powered by HANA

SAP AG 2012

Physical schema of BW Info Cube

tailored towards traditional RDBMS

HANA can work with flat structures

and doesnt need E- and F-fact tables

HANA Optimized InfoCube Design in BW